Programme-Controlled Manipulator TRIZ Cases

See how an autonomous robotic member with movable arms and AR cameras enables remote players to

See how sensor-based trajectory modeling enables robotic UV cleaning in occupied spaces by dyna

See how an XR device overlays virtual appliances onto real indoor spaces, guiding users on capa

See how a barrier isolates robotic actuators from food preparation zones using magnetic couplin

See how visual coordinate transforms resolve mapping errors in robotic cleaners, enabling users

See how a robot vacuum uses bumper movement to cover the cliff sensor, enabling dual-function c

See how a monolithic adaptor enables robots to use existing food-service utensils, preventing c

Automatic sorting and loading split trays, plates, and bowls into dedicated dishwasher tracks to cut manual handling and improve cleaning flow.

See how a segmented tray assembly uses rolling members and elastic restoration to absorb robot

See how a mobile robot adjusts LiDAR scanning frequency based on distance to the charging stati

See how an AI robot uses object recognition and delivery location inference models to identify,

See how dividing cleaning areas into regions and alternating dry-type and wet-type robot tasks

See how an autonomous cleaning device uses voltage measurements at electrical interfaces to ide

See how a modular robot uses image capture and obstacle-type comparison to determine navigation

See how a robot cleaner uses depth-sensor foot-sole extraction to follow a person accurately, a

See how sensor-based remote monitoring and operator interfaces enable robots to request assista

See how RGB and depth imaging replace fixed tool racks, enabling robots to locate and attach to

See how context-specific torque adjustment enables robots to assemble food safely near humans b

See how a cleaning robot generates arc-shaped search paths when the charging station's actual p

See how adjustable spin-mop inclination and elastic support maintain friction on curved floors,

See how a cleaning robot combines multi-sensor navigation with AI-based semantic mapping to rec

See how spiral cleaning patterns and dual-mode trajectory control minimize 180° turns, reducing

Direct robot-to-robot position sharing and speed adjustment keep follower cleaners on track and separated when paths diverge.

See how an autonomous robot uses image sensors to identify edges, shapes, and colors, enabling

See how a transportable robotic workcell uses multi-functional end effectors and software-contr

A movable bumper and detector below the robot cleaner sensor catch impacts caused by floor-curvature distance errors and improve obstacle avoidance.

See how a cleaning robot uses camera-based AI models and a descending guard portion to identify

See how a mobile robot uses light reflectance and optical flow sensors to detect floor material

See how a three-point support design with dual spin mops and a rolling member resolves stabilit

See how a nested dual-robot system uses height-differentiated guide rails and unified charging

See how dual image capture units enable automated product replenishment when display and stock

A movable cleaning module and variable-length connection let the robot clean under furniture while keeping dust capacity in the main body.

See how segmented buttons with haptic and acoustic feedback enable blind operation of exoskelet

LIDAR or depth sensing plus machine learning lets robots detect doorways as room boundaries, improving map accuracy and cleaning coverage.

See how frequency-based obstacle crossing reduces active component wear in cleaning robots by a

See how overlapping the front wheel assembly projection with the laser radar on the chassis add

See how a robotic glove donning machine uses vacuum acquisition, hook stretching, and inflation

See how a transfer robot with angle and height adjustment carries one cleaning robot across sol

See how a mobile robot automatically registers virtual walls on its map after impact detection,

See how time-division multiplexing and server-assigned transmission slots prevent signal interf

See how a spin mop with rotating cleaning cloths and vibration increases floor friction during

See how a robot control system uses sound and action information to identify users and determin

See how a docking device with integrated voice recognition module offloads command processing f

See how a chairless chair exoskeleton uses spring-based energy storage and dynamic locking to p

See how an AI robot uses speech commands, image stitching, and grid-based cleaning maps to reco

See how a food-safe tool changer uses compliant mechanisms and single-part utensils to enable w

See how dedicated robotic arms automate food transfer between prep and grill zones to prevent c

See how a robot cleaner divides target areas into prioritized regions and selects cleaning zone

A modular AGV platform integrates a collaborative manipulator and safety-controlled power to automate loading and unloading across different AGV types.

A moving plate guides robot arms on a circular path to raise substrate throughput while reducing transfer-system footprint in tight fab layouts.

A four-bar leg linkage and gravity compensator keep wheel load vertical, improving balance over uneven obstacles while freeing space for modules.

A two-stage torque transfer layout boosts actuator torque and precision while keeping axial length short enough for compact robotic joints.

Torque-threshold homing detects roll disk engagement without hardstops, improving safe synchronization and position tracking in robotic surgery.

Magnetic levitation and substrate sensing correct transfer position errors, improving wafer placement accuracy in processing chambers.

Three-dimensionally stacked electrodes increase electro-hydraulic muscle displacement and energy conversion efficiency for bio-robots and wearables.

A shared housing integrates drive, reducer, brake, and encoder assemblies to simplify robot joint construction and lower assembly cost.

Camera-based socket localization and modified digital maps let a robot arm plug EV chargers quickly, precisely, and without contact damage.

Optical sensing of arm protrusions enables automatic angular deviation correction in substrate transfer robots without operator teaching or alignment wafers.

Two storage periods in one frame enable earlier object recognition with less blur in low light and at high vehicle speeds.

Robotic parallel sampling and electrochemical testing during calcination helps keep lithium-ion cathode active material within spec and cut off-spec output.

Diagonal laser illumination and region-based image analysis help a substrate transfer robot detect front obstacles quickly and avoid collisions.

A calibration substrate and autoteach pin let wafer robot arms self-calibrate inside sealed tools, cutting contamination risk and requalification time.

Motor torque control, encoder feedback, and a brake let the gripper close quickly, limit peak force, and detect object slip.

Dynamic motor and brake control lets a robotic gripper close quickly, limit pinch force, and detect slip before object loss.

Hydraulic articulated link supports replace dust-sensitive electric drives, helping work vehicles keep stable posture and protect hoses in harsh terrain.

An eccentric-hub transfer robot moves multiple substrates laterally and rotationally to cut queue time while limiting thermal non-uniformity and contamination.

Fluid injection and vibration let an auger robot move through sludge and sediment for tank inspection without harsh chemicals or excessive power.

A ring-gear rotary tool and spring-loaded rod unwind wire ties on energized conductors remotely, reducing shock risk and cleaning corrosion.

Curved roller mounts and a guide pin help position a collaborative robot cart accurately on anchor shafts for faster, more secure setup.

Convex wheel sides and rapid wheel repositioning help a two-wheeled robot recover from lateral inversion on flat or inclined surfaces.

A friction band-and-pulley wrist removes the 360° limit of screw-coupled joints, extending substrate robot reach in dense semiconductor tools.

Direct rack-and-pinion translation simplifies sterile motor-driver alignment in surgical robots while reducing coupling complexity and cost.

An added trihedral corner reflector turns RTS prism coverage from torus-like to hemisphere-like, maintaining robot tracking on curved surfaces.

A universal connector lets one control board accept different sensor boards, simplifying wiring and sensor changes in substrate conveying robots.

A thermal isolation sheet blocks infrared heat transfer between incoming and outgoing wafers, improving ash repeatability and throughput.

Multi-stage connector masking and thresholding improve robotic wire insertion accuracy under variable lighting while reducing manual vision tuning.

Connector segmentation and thresholded masks improve robotic wire insertion accuracy under changing light while avoiding repeated vision processing.

Back-EMF stall detection and a compliance mechanism let electric grippers apply predictable force on unknown parts without sensors.

Interchangeable drive modules and universal power, data, and cooling interfaces let inspection robots inspect hazardous surfaces without shutdowns.

Edge scanning and movable alignment units center automotive glass accurately despite dimensional variation while reducing alignment member wear.

A shortened wall-mounted load port frees vertical factory interface space while preserving substrate transfer and transport opening sealing.

Vision-guided robotic mixing and dispensing applies 2-component TIM on EV battery trays with precise patterns, stable temperature, and faster production.

Image-based work area monitoring lets an autonomous work machine detect holes and obstacles early, then adjust routes and timing to avoid interruptions.

Modular autonomous portal vehicles use extendable legs, stabilization, and reel-fed cables to keep construction tasks precise across complex terrain.

By delaying faster servo axes to match the slowest response, this case suppresses multi-axis trajectory misalignment with simpler control.

A three-motor leg assembly expands 3D motion range while stop portions and transmission links maintain precise, stable control in legged robots.

Distributed drive units on high-speed local buses improve multi-axis synchronization, precision, and system expandability.

Mechanical motion conversion lets one drive source move a substrate holder in precise linear reciprocation across an ion beam, reducing control complexity.

Back-EMF stall sensing and motor compliance let an electric gripper deliver repeatable force without encoders, sensors, or continuous power.

A tapered front support and spring-loaded terminal correct robot docking errors, improving charging efficiency and reducing manual adjustment.

Dual magnetic bodies route useful flux to the sensor and stray flux between poles, enabling stable high-output position signals with less noise.

Magnetic repulsion replaces mechanical hard stops to limit rotary travel without friction, wear, or particle generation in cleanroom positioning.

Real-time gas and temperature mapping creates space between affected battery cells to limit heat transfer, trapped gas, and threshold exceedance.

Back-EMF stall sensing and motor compliance let an electric gripper hold parts with predictable force without encoders or continuous power.

Cameras estimate wire position and orientation so a robot can reliably grip and insert contact-equipped wires from uncertain form-board locations.

A mobile multi-axis robot handles multiple rotor assembly steps, reducing line complexity while adapting to different sizes and magnet layouts.

Selectable human motion parameters let robots mimic only needed position, posture, speed, or jerk for accurate programs across work situations.

Foot landing constraints and contact-force feedback help adapt centroid motion to real terrain, improving legged robot path accuracy.

Decanting goods into sub-totes enables precise store replenishment, cutting excess inventory, storage space, and out-of-stock risk.

Visible and occluded body keypoints from a 2D robot camera are used to estimate human engagement for more effective interaction.

Pressure sensing and material removal feedback help a polishing tool repair cracked components with precise, adaptable control.

Neural task-motion planning replaces symbolic representations so robots can follow natural language in continuous spaces and adapt to new obstacles.

Image-based body, ground, and step maps split robot path and footstep planning to avoid obstacles while maintaining balance.

Dynamic task assignment and reallocation keep multi-robot cells running through malfunctions while reducing downtime and programming errors.

3D sensing adapts robot protection boundaries to human distance and motion, improving safety without frequent production stops.

Airflow redirection lets a robot arm suction-pick and pressure-release target waste, improving plastic sorting precision and throughput.

A bell crank and slotted arm convert rotary input into push-pull motion inside a slim surgical tube, preserving precise end-effector control.

Shared icon editing unifies robot control and vision commands, helping operators build accurate vision detection programs without syntax barriers.

A 3D virtual boundary and force-based activation let operators reposition a robot arm safely without difficult joint-by-joint manipulation.

Trapezoidal and parallelogram bead models simplify 3D deposition path planning while preserving bead placement accuracy.

Location-based AR glasses show nearby equipment data and maintenance guidance, helping operators act faster without information overload.

Battery-threshold control powers a pet robot off at low voltage, then restarts it with restricted movement during charging to protect operation.

Segmented robot acceleration cuts tool jerk at stop points, shortening settling time and cycle tuning in laser cutting.

Four sliding suction-cup arms let a robot switch gripping size fast, handling mixed objects in narrow 3D bulk spaces.

A decoupled CNN-RNN and DMP approach segments video-demonstrated task primitives so robots can execute complex long-horizon manipulation.

Adaptive feed rate, cutting speed, and depth control improve robotic material removal accuracy across non-homogeneous bone density regions.

Demonstration-trained trajectory, precondition, and final-state models let robots compose branched skill sequences without manual condition coding.

A calibrated reference surface corrects robot holding height error, improving actual workpiece loading height detection despite frame deflection.

Kinematic mounts and a quick-release lock secure a robotic arm to a surgical table while improving alignment and reducing coupling damage.

A camera placed nearly perpendicular above the work area helps construction robots localize targets precisely despite arm drift and environmental effects.

Pivoting first and second links let a robot follow varied workpiece shapes, avoid contact, and keep sealant work continuous.

Slit-laser line imaging detects level differences between adjacent workpieces so the robot can correct misalignment before butt welding.

Sensor-based wrist angle correction shifts the robot wrist by 360° to avoid stroke limits, error stops, and tool interference.

A cloud monitoring screen combines robot status across building floors, improving multi-robot visibility, control speed, and service coordination.

A motorized assistant moves toward users for visual content, adjusts screen angle, and avoids unnecessary travel for audio-only responses.

Robotic fixture switching with lifting and bearing platforms enables accurate positioning, clamping, and flexible machining of tank moving supports.

A planetary gear boosts screwdriver speed from the robot output element, enabling faster automated screw connections without extra drives.

Inertial sensors paired with encoder data detect robotic arm deflection and pose errors, improving surgical positioning accuracy and alerts.

A horizontal chuck and lamination-direction support counter thermal distortion and gravity, keeping stacked plates aligned for high-quality welding.

Multiple finger force signals are compared to verify contact areas and switch control loops for more stable robot grasping.

When a primary robot cannot safely complete object operations alone, it analyzes the task and recruits helper machines for coordinated handling.

Coordinates endoscope-guided instruments from separate anatomical spaces to place adjuncts and fixating implants with accurate real-time positioning.

Camera-guided image capture and defect recognition make coating surface assessment faster, objective, and reproducible for defoamer optimization.

A safety guide robot detects AMRs, guides people on safe paths, and avoids shutdowns or heavy sensor deployment in automated environments.

A robot derives grip and scan locations, then releases and regrips objects mid-task to improve identifier reading, packing density, and throughput.

Precomputed template behaviors are retargeted online to handle obstacles and rough terrain while cutting trajectory optimization load.

A rotatable gripper follows helical workpieces under tangential force, enabling one robot program for reliable pickup and insertion.

Planned capsule rotation, robot station layout, and task sequencing cut idle time and improve multi-robot machining of large low-rigidity cabin parts.

Speech and gesture cues let a robot narrow object search to a mapped region, improving out-of-view identification and retrieval accuracy.

By linking sensor detection data to executed machine commands, operators can trace erroneous detection and verify malfunctions faster.

Combining 3D stack contours with 2D extension lines lets a robot detect layer dividers in irregular stacks and plan accurate pickup paths.

A dual action-set controller lets a pet robot express pseudo-growth and innate individuality for more lifelike behavior and interaction.

Midpoint strain gauge placement on an external gear diaphragm improves torque detection accuracy while reducing gauge load in robot wave decelerators.

An IMU inside the instrument drive unit detects pose so the controller can correct gravity-driven torque errors and improve robotic tool control.

Vision-guided robot control improves bulk food placement accuracy and throughput across varying food types and conveyor setups.

Decimated motion logs let a robot arm reconstruct a fast, accurate return path to origin after an abnormal stop while reducing manual setup.

Axis torque data and a machine model estimate tool center point forces without force sensors, improving machining control and maintenance.

A mobile AR-SLAM interface lets users spatially author robot and IoT tasks, overcoming fixed views, occlusion, and stale maps.

A hybrid pneumatic-electric Stewart platform damps multi-axis end-effector vibration to maintain precise robotic positioning under disturbances.

User interaction logs train RPA robots to insert personalized workflow steps, reducing manual configuration while improving task accuracy.

Embodied AR motion capture and ghosted task editing reduce coordination ambiguity while enabling robots to synchronize with human actions in real time.

Dynamic collision scenes guide vacuum suction and finger actuation so one robotic gripper can handle varied objects while avoiding obstacles.

Weighted RGB-D and haptic fusion improves target positioning and grasp force control under complex illumination, reducing collisions and object deformation.

Virtual anatomy simulation and sensor-feedback learning let a surgical robot adapt to patient-specific conditions while maintaining precision.

A neural controller uses image-based traversability and distance decoding to guide robots around obstacles with less human input.

Using three non-collinear reference objects, this case recalibrates robot coordinates to adapt programs to workpiece position and orientation changes.

Dynamic damping based on speed error and distance to motion limits helps robots avoid overshoot while maintaining efficient manual guidance.

Periodic relative motion lets one camera capture repeatable multi-angle inspection images on a production line without repeated motor stops.

Candidate actions and ancillary data are sent to tele-operation so the robot can update its control model and reduce human intervention.

Extended-validity route control signals and adaptive retransmission keep robots or vehicles operating when scheduled wireless commands are missed.

Synchronized linear carriages and cable restraint simplify planar motion control while preserving precise positioning and scalability.

Reusable work primitives paired with percepts let robots evaluate state representations and reach goal states with less tele-operation complexity.

Sensor-guided pose calculation maximizes suction cup contact on each item to prevent misgrips and dropped goods in storage picking.

A nested fixed-and-traveling sheave layout cuts belt bending and contra-flexion, extending linear actuator life while keeping a compact form factor.

Transforms robot maneuvers into constrained optimization and iterative quadratic programming to generate accurate joint commands with less hardcoding.

A free-rotating end effector balances uneven loads during fast robotic handling, improving grasp security without sensors or active motors.

Recorded reference load profiles let robots distinguish true external forces from normal load changes, improving safe operation continuity.

An AR interface lets users correct object classification and guide a decluttering robot through clutter without programming.

Using only two active shafts and passive joints, this observation arm keeps the surgical point in view while reducing size and operator burden.

Adaptive weighting blends reinforcement learning with feedback control and interleaves simulated and real data to cut robot training time.

Cloud-trained variant recognition models adapt to facility conditions to improve material sorting accuracy, purity, and recovery.

Modular task planning, behavior management, and action arbitration let service robots adapt to changing scenarios without losing stable operation.

Segmented similarity checks across abnormal and normal multi-signal time series help pinpoint abnormal events and likely cause signals.

Optical and depth sensing adjust spray parameters and toolpaths in real time to keep coating thickness uniform on complex workpieces.

Dynamic path selection across virtual routers maintains bit rate and latency targets for stable telexistence control of slave robots.

Sensors track motion, force, and pressure so the controller can detect unsafe support-section lift and counteract face injury risk.

An intermediate carrier and worm-bevel gear train let a robot wrist drive pitch and yaw compactly while preserving stiffness and control.

Pre-detection below the suction surface stops downward motion when articles are sensed, improving top-layer separation and avoiding collisions.

Built-in robot link sensors map surrounding surfaces without CAD or vision systems, enabling low-cost collision-free motion planning.

Dual endoscope imaging lets a controller track and coordinate surgical instruments from separate anatomical spaces, even when one is out of view.

Robots, on-device test apps, and wireless control automate mobile device functional testing to cut manual effort, time, and human error.

Using a VR headset and motion controller, users move a virtual pipette to create repeatable lab automation programs without scripting.

Environment data such as temperature and contact status is used to continuously correct robot force/torque sensor offsets and drift.

A hooked arm tool first reduces door opening angle, then pushes the door shut when the mobile base cannot reach the front side.

A robotic assembly lubricates and loosens hot engine fasteners using temperature gradients, cutting cooling delays and on-wing maintenance downtime.

A robot tracks user position, approaches with exercise gestures, and adapts movement to user behavior for stronger exercise motivation.

A table-side controller links robots and work equipment through shared signals, simplifying production system setup and reconfiguration.

Surface scans map topography and adjust robotic tool paths to automate precise clear coat repair on curved worksurfaces.

Bilateral robot teaching uses force, position, and environmental feedback to estimate commands that keep object operations stable under changing conditions.

Event-triggered sharing of robot operation data, images, sound, and text speeds surgical issue resolution while managing privacy and bandwidth.

Stored torch orientations let operators teach weld paths mainly by position, cutting robotic welding programming time while keeping torch angles consistent.

Learned assistance adjusts robot commands from state differences to improve manipulation accuracy without overriding user intent.

A compact in-line shoulder joint gives a single-arm surgical robot 3-DOF dexterity through a trocar while reducing incision size, cost, and complexity.

Pose uncertainty guides switching between model-based motion and model-free control, cutting training data needs while improving robotic task learning.

Closed-loop robotic polygon positioning and welding keeps a physical mesh aligned with the simulated model despite fabrication inaccuracies.

Moment comparison during suction removal detects object swing and adjusts control to prevent detachment on inclined shelves.

Real-time tracker feedback lets one mobile robot reposition across the ground and keep end-effector accuracy on large workpieces.

Vision-based monitoring detects human position and nearby objects to constrain robot motion before pinching can occur.

A ratchet-based self-locking joint lets an articulated robotic finger hold loads and maintain grip without continuous actuator power.

By reacting drilling and fastener-removal forces into the workpiece, a vacuum-clamped end effector lets lighter robotic manipulators handle large parts.

Mobile runner robots present boxes to fixed picker arms, replacing conveyors and ASRS to raise throughput in less warehouse space.

Heating the blank during transfer restores formability for hot stamping, then quenching delivers the required steel strength and shape.

Wireless position and posture sensing lets an operator guide robot motion in real time, cutting teaching time and rework.

Recorded mission files and metrics help rank robot-agnostic tasks, reducing mission setup effort across mixed-vendor robot fleets.

A movable gantry with interchangeable end effectors and RFID part ID automates precise drilling across different aircraft jigs with less reconfiguration.

Workspace remapping lets a passive robotic controller realign with the instrument in use, reducing drift, fatigue, and control errors.

Unsupervised clustering of user behavior lets a robot infer user states and deliver tailored expressions, motions, or voice responses.

Pre-generated motion plans are selected and adapted from real-time workcell observations to cut planning lag and avoid robot collisions.

Capturing user performance and reactions enables an AI companion to trigger robot activities for engaging entertainment when human company is absent.

A robotic arm with interchangeable tools automates drywall cutting, coating, sanding, and painting to improve finish consistency and shorten build time.

Autonomous edge and corner scanning lets robots register unknown packages during de-palletization without stopping motion plans or manual input.

Axial driver position from temporary seating reveals bottoming and clamping faults more accurately than rotation-based screw checks.

Separating robot leg swing into horizontal and vertical policies enables fast obstacle avoidance, timed touchdown, and stable navigation.

A self-balancing mobile body shifts from passive display to active approach and contact, improving user communication through state-based control.

A linear actuator and force sensor decouple robot motion from contact-force control to protect workpieces during surface machining.

A robot-mounted detection assembly checks storage positions in real time to catch dropped or manually placed material boxes and prevent abnormal picking.

Magnetically placed tool fixtures replace bulky master frames, aligning RV components precisely while reducing storage and preventing warping.

A layered real-time control framework lets custom modules process streaming sensor inputs within tight timing constraints for precise, reliable robot motion.

Game-controller inputs are converted into robot operating commands, enabling lower-cost remote operation of industrial and service robots.

Force data from multiple pressing directions lets a robot calculate movement direction and tip position without manual coordinate setup.

Sensor-based path planning repositions surgical robotic carts to safe table distances while detecting collision risks during autonomous movement.

Using 3D model vertices and softened boundary descriptors, this case trains object topology recognition to resist calibration errors.

A stereo camera reads markers and ID codes to deliver 3D stop coordinates for precise automated transport handoff to post-process equipment.

Dynamic sensor poses and planned measurement paths improve recognition of occluded or reflective workpieces and reduce picking interruptions.

Neural-network calibration of tactile sensors improves force magnitude and direction estimation for reliable handling of rigid and soft objects.

A two-step safety stop and dynamic zone control slow robotic kitting motion before halting, protecting workers without unnecessary throughput loss.

Input risk is converted into a stress parameter that adjusts learning efficiency, helping machine learning adapt to changing environments.

Selective PLC-driven program downloads replace manual robot code copying, cutting memory use and unintended operations.

Shared feature extraction combines anchor-based detection and embedding descriptors to re-identify close or partly concealed objects with lower compute.

Selective shelf-layer gripping and a dual-robot buffer setup improve warehouse sorting accuracy while avoiding full-shelf transport and wasted energy.

Staged layout, pose, and route planning reduces robot cell design time by avoiding brute-force evaluation of layout and operation patterns.

Fixed-interval speed change checks detect abnormal robot deceleration from non-maximum speeds and support timely emergency stops.

A robot plans 3D placement paths using height checks and tilted insertion to avoid collisions while improving stacking compactness.

User recognition and posture-based height adjustment make load placement and removal easier on autonomous mobile robots.

Idle robots are auto-routed into target zones and paths are adjusted by sub-area state to keep warehouse operations running during emergencies.

Separate extractor and controller training uses simulation plus actual robot data to cut collection cost and improve real-world operability.

Tracks belt inclination and lateral shift to let a robot handle workpieces accurately on a meandering conveyor without belt correction.

A robotic arm and pin-adjustable assembly table automate structural member placement and fastening for faster, more consistent prefabrication.

Point-line feature matching and decoupled rotation-translation search improve robot pose estimation under occlusion, lighting change, and sparse features.

Fusing LiDAR, camera, and odometry data through pose graphs improves robot map quality, position estimation, and obstacle avoidance.

Camera feedback tracks heat pool shape and brightness to adjust oxy-fuel torch speed for precise cutting of irregular steel plates.

A beam-splitting mirror aligns robot vision with the flange axis, improving operable space and positioning precision while removing offset errors.

Pre-rotating tubes at the loading station lets one robotic bender handle opposite-direction bends, close bends, and variable tube sizes.

A deformable ring and reverse-pitch helical lock keep a robot arm sprayer secure under vibration while enabling quick tool-free changes.

Preparing the next job while a self-movable industrial robot is in transit cuts arrival waiting time and supports immediate execution.

Adaptive ejection angles and teaching points help robots print across smooth and stepped surfaces while avoiding collisions and vibration.

Active and passive contact detection lets robot interactions score only true attacks, improving fairness and engagement in fighting-style play.

Selective dual-network communication cuts robot control-cycle load in normal operation while preserving redundant sensor transfer in faults.

Multiple camera views calibrate rotating head pose offsets after maintenance, preventing collisions and incorrect stud placement on assembly lines.

Measured digital models guide fastener-hole drilling on airframe parts, improving assembly precision without dedicated fixtures or lengthy shimming.

Automatic feedback updates a robot force sensor correction coefficient to counter drift and avoid anomalies without manual recalibration.

Pairwise edge analysis refines initial package pose estimates from 2D and 3D image data, improving robotic handling accuracy and safety.

Registers marker points through identifier-based input and image detection to avoid wrong robot axis setup during calibration.

Centralized RMS scheduling and indoor positioning help mobile kiosk robots relocate efficiently and deliver venue services at the right location.

Movable individual effectors handle variable part orientation while a rotary table swaps bins without stopping the assembly line.

Independent robot and destination trees speed obstacle-aware path search and refine the route to the shortest valid path.

Bayesian fusion of touch, image, and distance data helps robots map surroundings, recognize objects, and manipulate items during cleaning tasks.

Projected light boundaries and proximity alerts improve social distance awareness when human visual judgment is not precise enough.

Environmental matching lets a robot adjust commands and sensor settings when conditions shift, preserving inference accuracy without extensive retraining.

An uneven groove surface and oil-storing seal secure the guide rail, cut friction, and support faster, lower-cost linear robot operation.

By moving the camera onto the gripper wrist, the robot can learn side and angled grasp poses beyond limited top-down views.

Vision and distance sensors guide a robot to align and couple gas cylinder components safely when manual handling is risky.

Real-time waypoint and speed updates help robots adapt to object variation and execution errors, cutting task time, energy use, and mistakes.

Moving distance sensors map 3D workspace topography to adjust protective beam thresholds, improving machine-part safety without complex teaching.

Modular automated vehicles shift items between storage zones and pick stations to raise warehouse throughput without costly infrastructure expansion.

Adaptive visual, auditory, and movement cues let a robot convey its state and intended actions to improve human safety and task coordination.

A hooked mounting plate lets a tensioning tool slide and pull along the belt axis, enabling precise robot joint belt tension in tight internal spaces.

A camera-based calibration approach measures end-effector z-axis tilt from target images and a workbench contact point for accurate robot positioning.

A cable-driven telescopic manipulator replaces bulky jointed arms to extend reach while keeping mobile robots lighter and safer in human spaces.

A remote control positioning assembly lets surgeons keep direct sight of the patient while adjusting the console for more precise robotic surgery.

Real-time feedback and sensor-based counteractive motion help multiple robots recover irregular states and avoid peripheral object contact.

A movable housing shifts joint stress away from the linear drive, cutting mechanism load, backlash, and size while preserving stiffness.

3D LiDAR point clouds and stored aircraft models let maintenance robots identify, locate, and navigate to the correct aircraft without prior position data.

A robot-arm-mounted presence sensor keeps a fixed orientation during motion, avoiding sensor reconfiguration while maintaining operator safety.

Delay-time correction aligns simulated and real robot trajectories, preserving stationarity and reducing sim-to-real learning errors.

Surface acoustic waves on a robot arm detect nearby obstacles and direction under occlusion, poor light, and transparent surfaces.

Real-time load sensing lets a robot adjust deposition position by material mass, reducing malformed viscous structures and defects.

Precomputed posture data and occupancy evaluation let a robot arm detect collision risk early and avoid obstacles without contact.

Sensor-based suction grip planning and force-threshold re-gripping help robot arms handle soft or irregular objects more reliably.

Task-tagged robot work data streamlines collection across environments, helping update application information for more accurate autonomous control.

Genetic optimization of cable exit points reduces collisions and preserves platform equilibrium for accurate 3D photogrammetry.

Dual seals around the cross roller bearing block grease leakage, maintain even lubrication, and extend robot wave gear life.

Failure prediction targets human intervention only in high-risk robot tasks, improving imitation learning robustness and feedback efficiency.

A market server and manager let controllers add or remove third-party function modules quickly while preserving stable hardware interworking.

Using lidar-based 3D node updates, the robot preserves path intersections and distinguishes dynamic obstacles for steadier navigation.

A guide structure redirects screw fastening force across intersecting joint surfaces to improve adhesion, positioning, and liquid-tight sealing.

Controlled finger spacing followed by ultrasonic vibration helps release pinched objects without excessive stress or sticking.

Staging poses let robots wait in useful configurations, avoid collisions in shared workcells, and keep throughput high with real-time planning.

Pre-training actor and critic networks from demonstrations cuts robot RL sample needs, training time, and unsafe exploration.

Stacked annular wave washers with separated linear welds enable compact flexible members that balance bending freedom, load resistance, and durability.

A robotic arm and programmable pin table automate member placement and fastening to improve positioning accuracy and assembly consistency.

Auto-captured robot position data and assigned IDs simplify teaching, cut manual input steps, and avoid redundant position storage.

Image feedback aligns a robot tool with the work target despite table shake, improving precision in confined workspaces such as shafts.

Movement speed and force are adjusted from each item's fragility rating to cut handling time while protecting item integrity.

Bi-directional dampers and actuated feet help a robotic wheeled base absorb shocks on uneven surfaces while improving side-load stability.

Reinforcement learning uses arm shaking, trajectory length, and cycle time to shorten spot welding cycles without sacrificing accuracy.

A pallet-relative x-y scan plus vertical height detection fixes inconsistent sensor positioning for more accurate autonomous piece-goods picking.

Parallel robotic sub-assembly, sonic welding, and injected adhesive cut headlamp bonding time while maintaining strong metal-plastic joints.

Custom module interfaces and asynchronous channels let multiple robotic subsystems coordinate in real time without rigid framework constraints.

Classifying agents from trajectory data enables category-based task selection that improves resource use, performance, and learning progress.

By correcting force sensor signals with nearby inertial sensors, this case improves external force detection for precise robot force feedback control.

Offline rule-based mapping of discrete multi-agent state transitions enables fast runtime decisions and helps prevent robotic system stalls.

A reversible 180-degree actuator mount with height adjustment lets one transmission actuator fit right- and left-hand drive shift lever layouts.

Orientation and location data let a mobile robot create virtual barriers on an occupancy grid, avoiding restricted areas without physical barriers.

A movable intermediate store lets the gripper stage cut parts before bulk transfer, cutting sorting time and keeping laser cutting productive.

Sensors size each package and assign adjustable rack compartments to cut wasted space while keeping postal items easy to identify.

AI prioritizes airport zones by user density and features so limited robots can be redirected for faster guidance and better service coverage.

Multiple camera and depth modules on a robot mast unify navigation and manipulation sensing, enabling parallel motion and safer task execution.

By modeling the robot and user as one system, this case improves guide robot path control and obstacle avoidance for vision-impaired navigation.

Tracking operator position and dwell time lets a cobot predict the next work sector, cut idle waiting, and align assistance timing.

Real-time image-based urgency scoring moves robots to crowded zones while preserving allocated-zone coverage and service continuity.

Offline-trained neural path planning improves robot path quality, reduces power use, and avoids interference with workpieces.

Stored thermal drift profiles let a robot arm estimate end-effector displacement during run and stop periods, enabling sensorless position correction.

Sequence extraction from workflow logs identifies process steps and state transitions for automated RPA generation with less manual effort.

A single controller selects different coating apparatuses and loads matching parameters to simplify setup while maintaining accurate control.

Force-time sensing triggers a robot safety mode that switches speed or direction control to limit injury risk during collisions.

Movable engaging plates and controlled suction zones improve pickup reliability while enabling precise release of pliable items.

A shared-timeline job image lets users inspect multi-robot execution at a chosen time to verify dependencies, order, and coordination.

Laser map level features and subgraph template matching improve robot relocalization accuracy and reliability in changing scenes.

A planner section activates only needed behavior sub-trees, cutting robot control complexity, errors, and tick-processing overhead.

A removable positioning member sets the distal link hub to a defined posture, simplifying initialization without sacrificing compact range and accuracy.

Taller and multi-grid load handlers let one warehouse grid move standard and oversized bins, improving storage density and reducing manual handling.

A gimbaled robotic inspection sensor tracks extension and rotation to map NDT data directly to 3D surface coordinates with fewer manual steps.

Automatic 5-axis workpiece positioning enables precise multi-angle cuts without re-clamping, reducing manual effort, time, and errors.

Using position history instead of velocity and acceleration sensing, this case improves robotic model prediction while reducing sensor complexity.

When a robot arm nears a singular posture, force-guided escape posture selection stabilizes teaching and reduces operator skill demands.

Dual vision locates part pose and destination pose so a robot can adaptively pick and place loose or heavy items with less manual strain.

Sensor-based gripping surface detection lets a robot head place and activate suction cups for secure picking of mixed-orientation goods.

A scroll spring and threaded sleeve create contamination-free friction braking for passive robotic arm joints with reliable surgical locking.

Weight checks and RFID identification confirm single-object picks from mixed bins, reducing AI training needs and sorting errors.

Probabilistic particle exchange lets nearby robots merge maps with less bandwidth, memory, and computation while preserving SLAM accuracy.

A lockable adjustable pulley maintains belt tension under high driving forces, helping robotic arms avoid cable loosening, breakage, and motion loss.

External sensors and predictive avoidance control let autonomous moving bodies prevent collisions and keep tasks efficient without intercommunication.

Movable robotic barriers align with virtual boundaries to block unsafe user motion in VR without immersion-breaking warnings.

Wheel-load sensing and linear actuator repositioning shift the robot's center of mass to prevent overturning on slopes.

Altitude data from the cutting head guides handler gripping height, compensating transfer board wear without extra sensors or early grid replacement.

Camera and sensor fusion supports multimodal relocalization in dynamic spaces while excluding previously visited areas from the cleaning path.

Injected torque waves create Bode plot fingerprints to diagnose motor inertia and belt tension on site without servo disassembly.

CAD-CAM weld data is split into sections so welding parameters can adapt to local conditions and improve structural steel weld quality.

Workspace speed zoning lets a robot arm run faster away from operators while raising collision sensitivity in nearby low-speed regions.