Programme-Controlled Manipulator TRIZ Cases

See how an information processing device captures chef arrangement actions as data and recombin

A variable-length connection and rack-and-pinion drive let the cleaning module reach under furniture without shrinking the main body.

See how a cleaning robot uses human activity data from terminals to prioritize low-traffic regi

See how alternating dual depth cameras with infrared projection generate 3D coordinates for acc

See how a modular robot with interchangeable working modules and independent energy units reduc

See how LIDAR, radar, and video tracking enable autonomous vehicles to deliver food directly to

See how PWM signal exchange replaces amplifier-based current measurement to detect robot cleane

See how multi-directional wheels and rotatable sensors enable robot cleaners to avoid obstacles

See how a mobile robot combines image acquisition with sensor data and machine learning to accu

See how differential drive wheel control enables a cleaning robot to cross obstacles like door

Ambient sensing lets a moving robot switch into low-noise mode during quiet user activities, reducing disturbance without fixed noise hardware.

See how a mobile robot combines LiDAR geometry data with camera feature matching to achieve acc

See how a segmented robotic platform uses interchangeable service modules to resolve the contra

Cleaning logs and SLAM maps divide rooms into area types so an AI cleaner can prioritize routes, avoid re-cleaning, and cut cleaning time.

See how a movable shutter adjusts air flow path area to vary suction force dynamically, improvi

See how batch gradient estimation reduces input determinations in reinforcement learning by add

See how a robot cleaner divides cleaning areas into regions based on obstacle boundaries, avoid

3D image maps and bumper event classification help a robot cleaner detect real stuck situations and adapt routes when surroundings change.

See how spread-spectrum modulation and cross-correlation enable wearable near-infrared tissue m

See how a modular frame with bracket interfaces and unified smart-device control enables multip

See how optical, humidity, metal, and smell sensors enable robot cleaners to detect undesirable

See how sensors and cameras detect undesirable substances like pet excrement, transmit cleanlin

See how a segmented bracket adapts to multiple tracker manufacturers, integrates mechanical and

See how a modular robot delivery system uses detachable containers and universal interfaces to

See how a three-axis arm mechanism and controller enable a cleaning robot to switch brush orien

See how a robot cleaner combines laser, inclined camera, ultrasonic, and depth sensors to impro

See how a mobile robot filters image data by brightness and sharpness before server transmissio

See how a mobile robot adjusts its display screen orientation using cameras, UWB, and sensors t

Wireless charging and battery-threshold control keep a refrigerator article delivery unit from stopping mid-route and ensure return travel.

See how dual tilting mechanisms enable a service robot backrest to adjust between comfort angle

Image-based AI identifies nearby objects and lowers a guard to move or avoid them, improving coverage and reducing entanglement.

Map-based icons, animations, and virtual walls let users track robot state and control cleaning accurately across divided regions.

See how ramp features lift a robot's cleaning module during docking to protect charging contact

See how imaging-based contamination detection and predictive misalignment analysis enable auton

See how a moving robot corrects UWB anchor height errors to achieve precise virtual boundary de

See how combining UWB signals and laser light enables autonomous robots to determine relative p

See how alternating signal lights from a charging dock guide a self-propelled apparatus using o

Sensor data identifies obstacle-dense zones, adds virtual walls, and guides stable cleaning routes that avoid wandering and later recover coverage.

See how iterative effective-area calculation and optimal-point selection enable reliable autono

See how a movable cover with elasticity setting and light-transmission film protects externally

See how segmented lidar, infrared, and cliff sensors in recessed covers enable a cleaning robot

See how image-based global localization replaces wall-following to enable a cleaning robot to r

See how a cleaning robot tracks infrared light spots from a remote controller to simplify user

See how robot cleaners share trained stuck area classification models using 3D and bumper senso

Torque sensing and virtual spring control let a coffee robot couple or decouple a portafilter without damaging the group head or robot arm.

Multiple cleaning-state and reachability maps let a robot cleaner plan paths automatically, reducing manual setup and improving coverage.

A door-protected tray with automatic in-out movement and lighting improves hygienic robot serving while speeding access to articles.

See how a robotic floor-cleaning device automatically generates work schedules by analyzing his

A laterally rotatable holding portion keeps the robot compact in travel while turning open for easier product access and side display visibility.

Magnetically floated dual bases and a planar motor move substrates precisely without in-chamber guides, reducing particles and preserving vacuum.

Initiating actuators compress the electrode region so dielectric fluid can drive an artificial muscle at lower voltage with faster, more efficient actuation.

Electronic ink on a wearable motion assist frame gives intuitive color feedback for mode, battery, and user exercise status without complex displays.

Robots install solar modules with integrated post-beam supports and clinched joints, cutting site prep, tools, and installation time.

Modular interface plates and universal payload connectors let inspection robots swap sensors quickly for safer, more complete surface inspection.

Sensors and onboard processing let a mobile robot detect hazards on its route, alert staff, and block access while continuing retail tasks.

Double closed-loop position and current feedback enables magnetic micro-robots to track 3D paths accurately with faster field response.

Stored charge automatically shorts motor windings during power loss, passively damping robotic actuators without brakes or extra control hardware.

A detection part and solenoid enable remote emergency stop actuation while a spring keeps contacts in a safe state and avoids accidental reactivation.

Using external gears and optimized tooth-number relationships, this case achieves a 1:400 single-stage speed increase with only three moving parts.

Automated rod feeding, braking, and bending improve surgical rod curvature accuracy while minimizing notching and preserving fatigue life.

A positioning line guides the hoister track for accurate battery swaps on commercial vehicles where dust and interference defeat GPS or vision.

Timed resistor switching controls regenerative braking force in robot drives, enabling targeted deceleration and helping prevent equipment damage.

Closed-loop posture detection and piezoelectric adjustment align optical sensors automatically, improving transport-system accuracy and setup efficiency.

Acceleration-aware control predicts inertial displacement of a carried delivery vehicle or manipulator to prevent collisions during transport.

A crane-equipped mobile robot detects, collects, and stores animal waste using battery and photovoltaic power for independent operation.

Measured wafer thickness is matched to the carrier head removal profile before CMP loading to reduce asymmetric polishing and improve uniformity.

Field-replaceable batteries with blind-mate connection and backup power enable hot swapping with no robot downtime and lower energy use.

Inductive power coupling and linear magnetic drive move substrate robots inside a sealed vacuum chamber while reducing contamination risk and cost.

Ball casters and a low-mounted base layout lower the robot's center of gravity to maintain traction and resist tipping on obstacles.

Wireless power antennas replace cables in moving robot arms, expanding end-effector motion while reducing cable wear and maintenance.

Distortion waveforms from gripper contact portions reveal defective substrate engagement early, helping prevent drops during transfer.

A mobile robot uses UWB signals from a pet wearable to track movement, trigger rewards, and sustain activity when owners are away.

A non-contact sensor compares apparent and actual wafer thickness to flag warpage in cassette slots before robot removal causes damage.

Reflector-guided orientation sensing and gripper arms help AMRs dock with imperfectly parked wheeled carts faster and more safely.

A multi-axis robot combines air blowing, gripping, and cleaning to remove battery module tape and resin faster with fewer operators.

Real-time payload sensing and geometry-based stability calculation limit log handler reach to prevent tipping while preserving workable extension.

A mechanical switch lets multiple substrate transport arms share fewer motors, cutting chamber complexity while preserving independent motion and SEMI reach.

Movable ribs lift and hold beam-cut parts from a raster table to reduce mechanical locking and speed separation for robotic handling.

Two drive gearwheels engage inner ball toothing to deliver compact, precise multi-axis pivoting without complex force-transmission mechanisms.

Computer vision and robotic handling automate lug nut removal, wheel transfer, and remounting to speed tire changes and reduce worker hazards.

Dynamic curb allocation lets a delivery vehicle drop off a robot, free the parking space, and return based on the robot's ETA.

Force and acoustic sensing in a pick arm helps prevent misalignment and cracking when handling ultra-thin microelectronic devices.

Alternating detection phases let overlapping substrates share a transfer path while preserving position accuracy and boosting semiconductor handling throughput.

Mode-switched MR fluid clutch control manages slippage and torque transmission to improve actuator response while reducing energy dissipation.

A single rear laser scanner detects wafer edges across stacked wafers, simplifying sensor layout while speeding presence and alignment checks.

A convex probe head follows the rim boundary to place adhesive balancing weights on undercut inner surfaces without prior measurement.

Position-designating radix data lets each motor on a shared network interpret control values in its own unit without losing precision.

A charging-station camera tracks a moving robot after dock separation to improve theft alerts and outdoor location recognition.

Thrusters, gyroscopes, and IMU feedback keep a powerline cable robot stable in unstable equilibrium for autonomous obstacle avoidance.

A center-mounted encoder helps inspection robots track distance and location accurately for safer, more complete mapping on hazardous surfaces.

Cable glands seal robot wrist cable pass-throughs against dust, splashes, and moisture while avoiding heat-shrink sealing steps.

Offset fiducial markers keep visual feedback available when the plug blocks the inlet view, enabling precise closed-loop robotic EV charging.

Machine learning guides robotic pickup and coplanar alignment of solar panels despite glare, exposure shifts, and rotating torque tubes.

Machine learning and vision-guided robotics detect panel pose in glare and poor lighting to align and level solar panels on rotatable structures.

Force-feedback robotics place rotor cores and magnetizable inserts precisely, enabling flexible rotor stack assembly across size and tolerance variations.

Offset fiducial markers keep robotic EV charging in closed-loop control when the plug obstructs direct inlet imaging.

Movable limited-view sensors are ranked and redirected to high-priority regions, improving autonomous vehicle coverage during maneuvers.

A bridging adapter fixes the pulley to the housing so a motor can be replaced without loosening belt tension or shifting pulley position.

3D sensor data lets robots keep running while people remain in the hazard zone, stopping only when distance to dangerous parts becomes critical.

Controlled base oscillation and inertial sensing detect end-stop contact in active isolation stages without manual shims or collision risk.

When walls, workpieces, or robot posture block wireless links, peer controllers relay operating-state signals to avoid timeouts and false alarms.

Quaternion-based pose transforms replace complex matrices and dual quaternions to simplify autonomous machine control and reduce errors.

Stacked wave washers with low-deformation end links enable compact flexible members that resist load while reducing stress and fatigue.

A two-stage PET bottle accumulator architecture uses PWM valves and PD pressure recovery to rapidly pressurize multiple wearable actuators.

Short-range presence checks let a mobile operator device release robot safety commands only when the user is close enough.

Cloud control lets service robots wait, verify target-space occupancy, open doors safely, and reduce onboard sensor and maintenance burden.

A virtual robot training setup uses HMD-based camera views and coordinate checks to practice vision compensation without costly equipment.

Predefined no-stop zones let building robots exit evacuation paths during emergencies while preserving fast response and service recovery.

Optics-guided positioning lets a robot cell run different machine tools without fixed linkage, cutting setup effort while keeping stable handling.

Selective valve control and sensing let multi-pouch soft actuators gain more movement freedom without losing simple inflatable construction.

A learned model is compared with a fixed model so output can switch by environment, preserving accuracy and runtime before relearning.

Real-time status reports let virtual routers switch paths to keep slave robot control and communication quality stable under changing traffic.

An access-area AI detector verifies each person before workspace entry, improving position detection reliability and robot safety.

Multiple robots sandwich carts and use load and angle feedback to stabilize transport without object modifications or reloading.

Targeted wireless commands use RFID, color, and sensor-based robot identification to prevent misdirected actions in dense multi-robot cells.

Real-time shelf and behavior analysis dispatches a store COBOT to assist customers and restock items before stockouts occur.

By combining human demonstrations with sparse-reward trial learning, robots adapt new tasks with less data and lower compute.

Directly moving the manipulator to edit points and segments simplifies robot path changes and reduces attention shifts during programming.

A 3D orientation-aware costmap cuts planning time for non-circular robots while preserving collision-free navigation in cluttered spaces.

A leadscrew-driven motor module boosts torque while keeping folded robotic structures compact and easy to reconfigure for varied tasks.

Multiple imaging positions are set to maximize parallax within the camera view, improving height measurement accuracy for large targets.

A segmented nozzle with lens, casing, and liquid flow path enables precise laser peening on complex surfaces without nozzle interference.

Motor current is converted into torque and external force to detect robot collisions more accurately while filtering noise before stop signals are issued.

3D scan data and a process-agnostic pointing device let users create accurate robot motion commands with less training and programming effort.

An iterative bounded Gauss-Seidel inverse kinematics approach keeps teleoperated surgical robot motion accurate while respecting joint limits.

Fused 3D point clouds and a CNN let a robotic handler choose picking or sweeping modes for faster automated vehicle loading and unloading.

A palm-area backstop lets soft grippers hold compliant bags more stably with lower force, reducing slip, shifting, and product damage.

Real-time status signaling lets one robot finish, dock for charging, and trigger the next task to cut delays and improve multi-robot utilization.

Preselected task programs let users match robot jobs and attributes quickly, cutting manual adjustment time in changing environments.

Motion-state abnormality detection links each robot fault to a stored response procedure, cutting diagnosis time and reducing downtime.

Intrinsic tactile and proprioceptive sensing guide reinforcement learning for stable in-hand object reorientation without external sensing.

Action-specific QoC lets robot controllers vary wireless transmission settings to preserve deterministic control while reducing radio usage.

An AR interface lets users guide object classification and obstacle handling while the decluttering robot navigates and clears clutter safely.

Dense image-to-object correspondences refine 3D pose estimates for small or deformable objects, reducing grasp errors in robotic picking.

Variable-length links and linear actuators give a compact robot elbow torsional motion and higher power without gears inside the joint.

A rule map and end effector model determine robot grasp points accurately without large teacher datasets, cutting setup workload and cost.

A flexible coupling member keeps a robot speed reducer attached even if the robot-side recess is damaged or the reducer shifts.

Centralized robot management improves indoor delivery routing, task scheduling, and recipient authentication for service robots in complex venues.

Contour points extracted from 3D scan data replace CAD remodelling and manual teaching to generate accurate robot tool paths.

A 3D monitoring sensor and localization module let handling robots recognize stations automatically, cutting setup time and expert programming.

Force sensing and motor current feedback coordinate robotic surgical arms to limit tissue trauma and improve control during complex procedures.

Autonomous participants publish skill sets and rebid tasks, keeping production plants flexible when units fail or new ones join.

Autonomous participants detect skills, exchange task offers, and redistribute work without central control when plant resources change.

Flexible sequencing decouples pallet planning from case placement to keep mixed-SKU robotic palletizing stable and continuous.

A work table-side controller links robots and nearby equipment to simplify process planning, integration, and line reconfiguration.

Force-based robot calibration maps hidden workcell boundaries and updates the virtual cell for more accurate motion planning and collision avoidance.

A vision-guided controller uses actuator impulses to reorient varied objects without hard automation reconfiguration or contact dynamics modeling.

Adaptive scheduling, mapping, and path planning let a mobile robot carry items autonomously while responding to user needs and changing surroundings.

Multi-motor state analysis detects collisions and link dislocations in parallel link robots, enabling fast shutdown and axis-specific diagnosis.

Historical task and location duration data helps robots adapt schedules, detect systemic issues, and improve task completion in variable environments.

Sonic welding and injected adhesive replace heat staking in headlamp assembly, cutting bonding time while maintaining strong metal-plastic joints.

A swing-leg capture point algorithm adjusts humanoid robot step length from torso and leg states to restore balance under disturbances.

Deterministic sample-node selection minimizes uncovered configuration space, improving motion-path quality and certification in safety-critical planning.

Virtual and real camera snapshots are matched to correct robot cell position and orientation drift during manufacturing runtime.

Spatially resampling kinesthetic teaching data reduces learning bias and virtual points, improving robot motion control and adaptation.

A central controller synchronizes robot cell mode changes with safety checks and operator confirmation to cut errors and protect operators.

By nesting the brake or oil seal inside the speed reducer, this robot joint removes timing belts, improves positioning accuracy, and stays compact.

Automatic axis-wise calibration updates robot, camera, and tool mappings to minimize positioning error with less operator dependence.

A tiered robot-edge-cloud setup offloads heavy processing while keeping time-critical autonomy local for lower latency and simpler robots.

Chamfered pinion teeth and rotational spline play prevent rack jamming, enabling reliable vertical climbing in multilevel storage robots.

Vision and weight sensing verify robotic picks, detect dropped or wrong objects, and improve sorting accuracy with fewer handling errors.

Automatic exchange of acquisition units lets one robot securely grasp and move varied objects without manual end effector changes.

A gimbaled robotic sensor maps NDT data directly to 3D coordinates, avoiding extra scanning steps and manual defect tracking.

Active linkage and brake control keep surgical robot joints off hardstops, speeding setup while reducing collisions and inadvertent movement.

Spherical socket joints and an elongated link expand hand motion while avoiding bulky structures that distort size and proportion.

A hybrid SLIP-LIP control scheme and state-machine gait planning help biped robots run stably on rough terrain without ZMP limits.

By detecting door handles, hinges, and depth, the robot selects a non-overlapping drop-off position for safe autonomous goods delivery.

A loadcell, support shaft, and damper let a cooperative robot arm measure axial load accurately and adjust payload to avoid false stops.

Base stations and sampled boundary points replace cumbersome markers, giving self-moving robots more precise movement area delimiting.

Capture point and ZMP feedback correct COM position in real time, improving legged robot walking accuracy and stability.

Switching between trajectory-defined and trajectory-free robot commands improves machining accuracy while keeping workpiece transfer efficient.

Sensor-guided template matching lets a movable gantry identify the correct jig and auto-dock at the required distance and angle for precise robot work.

Wireless safety signals and RFID tool identification enable safe robotic arm tool coupling and decoupling while reducing wear and maintenance.

A single multi-gripper with elastic force control handles varied sample cases, rotates vials, and opens lids while saving space.

Cross-contact recesses restrain rolling members in a ball-lock tool changer, cutting torsional freeplay and improving repeatability.

A dual-process robot controller replaces external PLC circuitry, simplifying peripheral control, installation, and reprogramming.

When a grip is inadequate, recalculated position and posture data let the robot recover picking flow without stopping or repeating errors.

Preselecting a base station before a robot passes a radio shielding object helps prevent connection loss and communication malfunctions.

Real-time user location lets the robot extend service timing only when the user is nearby, reducing rescheduling and wasted resources.

Voxelized 3D occupancy envelopes combine mesh conversion and real-time scan data to predict robot motion and maintain safe human separation.

A compact robot joint combines strain wave gearing, magnetic position sensing, and a rotor brake to cut inertia and dynamic forces.

Compiling target-specific workflows into linear instrument operations helps automate parallel biological foundry runs with less manual setup.

Cross laser lines and an off-axis orifice plate calibrate robotic tool center points without two-way controller communication across brands.

Camera-guided head attachments flatten, unfold, and reposition conveyor items so barcodes stay visible for accurate sorting and shipping.

Virtual areas around the robot help evaluate feasible attitudes and generate movement routes that keep safe distance from obstacles.

Autonomous robots navigate casino floors, avoid obstacles, and wirelessly collect gaming-machine data for diagnostics and service tasks.

Grouping robot teaching points lets operators set speeds and other operation values in batches, cutting teaching time without losing control precision.

Minute-section wire-length calculation uses bending, turning, and torsional angles to keep continuum robot control accurate under twist.

Skill footprints detect shared space and resource conflicts so robots can plan concurrent actions with less manual programming and safer execution.

Precomputed template behaviors and retargeted trajectories cut online computation while keeping robots adaptive on difficult terrain.

Predefined robot movement libraries let abstract job inputs fill undefined steps, cutting teaching time for fast work-content changes.

A natural-language bot links users to building supervisory systems, cutting training needs while enabling real-time monitoring and control.

Motorized jaws and position sensing keep rib webs clamped during drilling and fastening, avoiding deburring disassembly in wing box assembly.

A linkage gripper with straight and rotary motion adjusts tilt and eccentricity to align misaligned workpieces during insertion coupling.

Adaptive OGI camera cooling lets a ground robot cut heat interference, inspect at target points, and avoid unnecessary gas leak video capture.

Combining angular velocity and angle sensor data corrects drift and improves prosthetic knee posture control across varied motion scenes.

Repositionable initialization objects let a cleaning robot localize, map rooms, and adjust paths around obstacles without constant remapping.

Distance sensing and wheel-speed control let a pipe-crawling robot track radial shifts, handle bends and obstacles, and inspect corrosion.

Rotatable clamping and lift-controlled wheel positioning automate multi-angle separating cuts without repeated re-clamping.

Cross-referencing haptic and visual profiles helps robots build fuller environment models for more accurate object identification and surface interaction.

Reusable grasp and work primitives let robots learn in simulation and execute varied tasks autonomously with less tele-operation and wear.

Multiple flexible pins combine pressure, suction, and 3D depth sensing to grasp irregular items accurately in cluttered or tight spaces.

Force-sensor teaching adjusts suction position and tool inclination during sticker peeling to prevent warpage, wrinkling, and misaffixing.

By mapping candidate workpiece coordinates to robot coordinates, this case corrects taught arm posture and preserves movable range.

Visual identifiers guide material pushing robots back to charging before battery depletion, avoiding costly magnetic navigation and downtime.

Independently movable wheels let grid robots engage rails for bins of different sizes, improving space use and reducing manual handling.

A behavior planner balances opposing needs such as self-preservation and self-esteem to avoid uniform robot actions and sustain user interest.

Vertical frame clamping secures flat and curved wood parts for multi-axis robot processing while reducing fixture complexity and floor space.

Passive fiducial markers and camera-based coordinate transforms let docking equipment determine relative ship pose without manual calibration.

A two-stage neural network helps mobile robots avoid static and moving obstacles faster by shifting much of path learning from real-time calculation to simulation.

Camera-based feature point recognition locates both the workpiece and held tool, enabling precise robot arm motion when positions vary.

Two coordinated displays let a moving robot switch between voice and touch interaction to deliver wayfinding and service information more effectively.

Distance-sensor scanning on a test substrate maps wafer entry regions and corrects Z-axis positioning without installing chamber cameras.

Selective joint and arm-segment calibration estimates friction and center of mass for more accurate robot motion with lower measurement noise.

Left and right travel guidelines let a mobile robot build safe local paths from a global route for faster, more personalized guidance.

Peak load estimation adjusts robot joint acceleration up or down to keep motion within target load and maintain jerk performance.

Combining reusable robot maneuvers with cost-based compatibility checks speeds motion authoring while generating feasible joint commands.

A multibody control model coordinates mechanically decoupled exoskeleton units to improve precision, load balance, and movement freedom.

3D convolution on point-cloud grids and suction-pad kernels selects grasp positions without re-learning when pad layouts change.

A neural network combines user joint positions, co-speech gestures, and behavior priority rules to make robot responses more natural.

Guide discs, spacers, and transfer channels cut cable friction in a soft tentacle gripper, improving dexterity, grip strength, and durability.

AI and cameras identify mixed workpieces, retrieve inspection data, and guide robots and CMMs to automate setup and measurement.

Variable impedance lets operators guide the robot freely, then feel contact resistance for precise cable gripping and connector insertion.

Visualized interference risk and manipulator position help operators train faster, avoid collisions, and improve human-robot cooperation safety.

Machine learning augments simulated images with real-world lighting, shading, and noise to train robots and other physical processes at scale.

Opposed assembly fingers follow the seal receptacle profile to place O-rings with less stress, twisting, and deformation on irregular geometries.

Image-based feedback aligns workpieces by tracking relative feature positions, avoiding complex calibration and Jacobian error in large robot moves.

Grid-based evaluation of candidate robot locations cuts optimization time and complexity while supporting multi-metric workcell layout iteration.

Force/torque feedback and learned compliant control let robots correct pose errors online and assemble parts despite variable positions.

Using only x-y location and object angle, this case narrows robotic placement search space to speed planning and reduce representation errors.

Predefined motion primitives let robot control select sequences faster and expose adjustable parameters for accurate target-state transitions.

Distance-based point clouds are filtered against known surfaces and clustered so robots can find and grasp dropped objects without camera limits.

Drone image reconstruction builds a 3D lawn map, separates mowing and obstacle zones, and guides anchor placement for accurate robot paths.

Human correction instances let robots detect wrong action parameters and retrain shared models for more accurate performance in dynamic environments.

A pivotable dual-pinion module lets lift robots switch between vertical and horizontal rails without pausing, reducing path interference and wear.

A vision-guided ML model scores candidate end-effector motions and release timing so robots can place objects accurately as locations change.

Optical recognition in a robotic shopping cart identifies item placement and attributes to automate preferred packing before checkout.

Sensors detect people, animals, motion, heat, or sound so a mobile UV disinfection robot can stop emission and movement before harm occurs.

Autonomous robots use 3D mapping, markers, and item localization to improve warehouse picking accuracy without major shelf changes.

Sensor-based evaluation lets a service robot switch between rule-based and training-based behaviors to improve adaptability, safety, and service performance.

A chain cartridge with cable-carrying links extends telescopic segments with lower weight, cost, and precise force control for assistive robots.

Fully coupled Gaussian-process crowd models reduce freezing robot behavior by capturing host-agent and agent-agent interactions.

Region-based and perimeter-based navigation helps autonomous robots cover unknown surfaces more predictably, thoroughly, and with lower compute load.

Depth-camera point clouds and hand-object segmentation let a robot choose grasp poses that avoid human fingers during handovers.

Sensitivity analysis pinpoints the workstation and timing factors that matter most, enabling faster robotic cell layout changes to raise throughput.

AI/ML support robots monitor user actions and communications to generate RPA workflows that automate repetitive approvals and responses.

Reference and repeat images of a verification symbol reveal camera calibration drift and trigger recalibration only when thresholds are exceeded.

Heartbeat monitoring triggers hibernated backup control so robotic arms stay movable during patient repositioning after controller failure.

Multiple robot toolpath simulations vary parameters, correct axis limits and singularities, and generate control code that matches real robot capabilities.

Real-time force sensing adjusts robot collision thresholds for weight and inertia, reducing false triggers and limiting contact forces.

Multi-angle polarization frames help neural networks separate transparent objects in cluttered scenes where intensity-only vision fails.

Multiple short parallel links and intersecting revolute axes expand hub motion range while preserving compact size, rigidity, and load capacity.

Motorized hooks, worm gears, and spring-loaded arms secure an ROV to subsea structures, cutting thruster use and battery drain.

Machine vision measures fixture position, then motorized locators shift the AGV-carried workpiece to nominal position for precise, faster operations.

Multi-objective optimization maps robot parameter sets against motion time and trajectory accuracy, making Pareto tradeoffs easier to choose.

Gravity-aligned pose data and ground contact points are combined to estimate terrain contour and adjust robot posture on uneven slopes.

Worker-worn sensors capture environmental readings and location data to map workplace conditions without costly robots or vehicles.

Coordinate mapping and total-station tracking guide ceiling drilling points accurately while reducing ladder moves and perforation time.

Adaptive shutter speed and capture position updates retrain the model when defect recognition on moving workpieces falls below target.

Screenshot-based change detection lets RPA bots relocate shifted or reshaped GUI objects and keep running without manual bot rework.

A neural adaptive controller learns actuator subsets in stages, easing multi-DOF robot training while preserving coordinated motion.

Optical safety rings use reflected LIDAR signals to detect nearby objects around moving robot parts, enabling faster operation without contact-based sensing.

Dual memory and periodic data evacuation preserve robot work data when instruction processing fails, enabling fast recovery.

Action-conditioned image prediction lets robots anticipate object motion from raw pixels and planned movements without manual object labels.

A movable indexing member and detector confine scattered laser radiation while heating and mechanically joining AHSS to other metals.

Grid-cell occupancy and velocity probabilities improve multi-object movement prediction while reducing tracking complexity in busy robot spaces.

Graphical plant-state views link directly to program points, cutting training effort and errors when modifying industrial control applications.

Automated excitation trajectories and force-motion data identify robot dynamics to predict application-specific stopping distances with less conservative safety margins.

Touch input path monitoring detects abnormal hand states and sends an emergency stop to protect workers during robot teaching.

Three levers, a spring, and a parallelogram linkage drive a gimbal plate to give surgical wrists wide motion without gimbal lock.

Animated pallet layouts overlaid on live video help operators verify product placement and prevent palletization errors or equipment issues.

An anytime graph search planner generates collision-free, near-optimal manipulator paths in real time for robotic finishing.

Direct trajectory position data and axis-angle learning improve robot path reproduction without noisy sensor integration or repeated laser-tracker setup.

Stored energy keeps actuators active during network failure so the robot decelerates first and applies brakes only below a safe kinetic threshold.

By removing non-influential teaching points, the robot preserves accurate motion playback while reducing extraneous movement and teaching workload.

Continuous image feedback lets the gripper update object position and posture during motion for more reliable grasping and transport.

By checking destination state and time before escorting, the robot avoids unsafe or congested guidance and notifies users when service is unavailable.

A modular four-bar linkage structure enables predictable bending, twisting, shearing, and scaling through force applied at specific locations.

Programmable motion control and tray indicia align and route boxes automatically, cutting sortation complexity while increasing throughput.

Detected positions of installed aircraft components create virtual reference points, enabling precise planar assembly without positioning jigs.

Searchable animation tracks let robots satisfy goal states with lifelike movement while reducing manual animation upkeep and memory load.

A synchronized second camera corrects wrist-camera capture timing so fast-moving workpieces stay in view without slowing the robot.

Real-time vision processing adjusts robotic sealant deposition to control bead position, volume, and shape while improving sealing consistency.

Sensor-based terrain height maps let a legged robot set foot swing clearance to the highest path obstacle, improving navigation while limiting energy use.

Deterministic automaton state transitions and decentralized bidding help robots assign time-dependent subtasks under uncertainty.

Soft elastomeric grippers use inflation or vacuum to conform to varied objects, enabling safer automated pick-and-place handling.

A slideable connector lets the robotic arm make fine horizontal and vertical adjustments for accurate coupling to a surgical table.

Motorized supports and articulated arms let one frame hold curved fuselage panels securely, reducing pallet count, handling, and size constraints.

A smart tool plate with onboard memory and driver loading lets robots hot-swap end effectors without changing control code.

Direct current braking stops industrial robot axes before brake delay causes coasting or sagging, reducing mechanical load during shutdown.

3D coordinate replay combines factory images and motion paths to reconstruct collisions and speed remote troubleshooting.

By checking the robot-based laser path against an allowable region, the system reduces output to prevent unintended irradiation.

Using vision, spatial mapping, and natural language input, this retail robot guides users to products and improves inventory access.

State information shown in a wearable display helps workers judge robot pose relative to reference objects during direct teaching and avoid collisions.

Distributed stateful LSTM analytics detect robotic actuation faults by comparing predicted and actual activities with lower latency and compute load.

Non-uniform shelf spacing and size-aware robot routing improve crate fit, storage density, and travel efficiency in automated warehouses.

A floor-supported plate uses selective anchor holes and alignment features to mount robotic arms accurately on uneven or constrained concrete floors.

Magnetic coupling carries force across a sterile barrier in robotic surgery, preventing contamination while preserving precise manipulator motion.