See how user-editable cleaning maps and adaptive scheduling improve robot cleaner coverage in a
See how a self-propelled floor cleaner uses radiation emission and reflection detection to iden
See how a portable measurement device with laser projection and camera feedback enables quick s
See how dual-angle patterned light emission detects obstacle shapes and distances to identify s
See how a cleaning robot follows another diagonally behind obstacles, using movement state dete
See how a modular robot delivery system uses segmented navigation, sensor, and container module
See how fiducial markers with predetermined spatial relationships enable vision-based pose dete
See how a reconfigurable robotic platform uses teach-repeat navigation and interchangeable serv
See how a robot cleaner uses a detector to monitor auxiliary tool protrusion state and adjust o
See how stereo cameras with overlapping fields of view replace ultrasonic and infrared sensors
See how a four-link mechanism with heel-hinged support distributes user weight to reduce knee a
See how mask-based path planning resolves the contradiction between navigation speed and task a
See how a cleaning robot uses dual-voltage power conversion to drive moving and cleaning units
See how a self-moving robot uses a freely rotating moving module embedded in the functional pro
See how a robot cleaner uses optical, humidity, and smell sensors with remote confirmation to d
See how a robot cleaner extracts 2D feature points from images, matches them to create 3D coord
See how signal-based virtual boundaries replace physical barriers to confine robotic devices, e
See how a robotic sweeper identifies, removes, and repositions light obstacles to clean previou
See how automated display and control positioning based on user profiles resolves the ergonomic
See how a dynamic arm support linkage with SCARA joints and sensor feedback adapts to user char
See how a shared database coordinates multiple autonomous floor processing fixtures to optimize
See how dual rotation members with dustcloth attachments use torque-based movement and obstacle
See how a segmented wheel with outer ring, spokes, and ribs widens contact area to climb obstac
See how a robot controller detects closed-curve paths during wall following and switches to esc
See how a robot cleaner integrates temperature, humidity, and air quality sensors with SNS-base
See how a cleaning robot creates a 3D obstacle map with height sensing to decide whether to cli
See how a cleaning robot uses straight-line angle classification and ray-casting to recognize p
See how a rotating and height-adjustable image sensor replaces infrared and ultrasonic methods
See how a cooking robot uses detachable raw material containers, identification systems, and au
See how stationary appliances serve as wireless gateways and user interfaces for mobile devices
See how independently removable wheel and cleaning modules reduce repair time and cost in cover
See how a robotic vacuum detects structured-light measurement drift by comparing estimated land
See how a robotic cooking system uses minimanipulation libraries and real-time sensor feedback
See how a delivery robot navigates roads, bike paths, and sidewalks autonomously, using adaptiv
See how impedance signature analysis enables automated systems to identify material type and qu
See how a robot cleaner uses multiple microphones to detect sound source direction, recognize e
See how suction cup adhesion replaces wheels to enable automated solar panel cleaning on inclin
See how a robot cleaner uses mobile terminal images and AR overlay to predict its traveling pat
See how a robot recovers pose confidence by matching sensor data to stored path segments, enabl
See how RF signal strength indicators replace optical sensors to enable cleaning robot docking
See how a robotic floor cleaner monitors usage times and applies machine learning to auto-gener
See how infrared floor-type detection enables a robot cleaner to adjust suction force and trave
See how a rotatable and tiltable laser-vision system enables robot cleaners to map 3D obstacles
See how a robot delivery system uses movable wheel assemblies and integrated navigation to auto
See how upward and downward light patterns enable a robot cleaner to detect obstacle height and
See how rail-based automated conveyance with electronic identifiers eliminates elevated platfor
See how a cleaning robot generates area maps with external illuminating device data to autonomo
A cutoff, resistor braking, and motor-terminal shorting circuit enables fast robot stops without skidding or component damage during power loss.
A calibration jig with two target bodies simplifies optical axis deviation detection in substrate transfer hands for more precise sensor alignment.
A detachable positioning member lets a robot hand place semiconductor wafers quickly at a normal position for accurate teaching without complex grips.
Dynamic PWM frequency follows planned motor speed to cut heat, switching losses, EMC issues, and drive cost in robot motor control.
A shared optical sensor controller uses demultiplexing and software calibration to improve substrate positioning accuracy while cutting cost and maintenance.
Sensor-based wafer position checks let the controller adjust robot transfer speed to limit slip and improve substrate handling throughput.
Context-aware narrow AI agents activate only relevant vehicle perception models, cutting power use while preserving accurate driving decisions.
Robotic arms and narrowband reflective sensing help AMRs dock with misparked wheeled carts faster, more safely, and with less computation.
An onboard gripper and adjusting unit let a driverless vehicle move and exchange spinning cans autonomously to keep sliver supply reliable.
Modular interface plates let inspection robots swap drives and payloads for safer, thorough surface inspection in hazardous confined areas.
A special ID mode lets one daisy-chained smart servo motor reveal or reset its unique ID without disconnecting other motors.
Pitch and roll adjustable joints correct high-temperature link droop, keep the end effector aligned, and reduce contamination near substrates.
An integrated elastic gear module replaces separate spring and reduction parts to tune rigidity, save space, and support precise torque control.
Powered arms and legs transfer solar panel loads to the ground, reducing worker strain while improving installation speed and positioning accuracy.
Bent plate springs along the workpiece path let a vibrating trough move parts smoothly in both directions without losing transport efficiency.
A delivery vehicle picks items during transit with onboard robotics, cutting two-step fulfillment delays while keeping orders accurate and editable.
A contactless magnetic stopper limits rotary overtravel without shock, wear, or particles, improving cleanroom positioning durability.
By combining the motor, encoder, reducer, and driver around an outer-rotor layout, this case cuts actuator axial length while keeping high torque density.
An FPGA co-processor runs OpenCL on FCL to cut robot collision detection time, improving motion planning speed with efficient power use.
Force-feedback robotics place rotor cores and magnetizable inserts accurately, enabling flexible motor assembly across varying sizes and configurations.
Individually controlled electrode pixels and polarity reversal enable selective gripping and fast release of delicate materials with less damage.
A rigid dimensionally invariant coupling removes friction and hysteresis, improving substrate placement repeatability in semiconductor handling.
Two identical adjustable pick-and-place units move different wafer sizes at once, avoiding plate changes and improving transfer efficiency.
Camera-based arm position checks correct thermal drift and placement variance, improving wafer centering accuracy without real-time encoder reliance.
A shared SCARA pulley layout and passive band tensioner cut chamber height while keeping band tension stable across temperature changes.
A laterally shifted guide rail clears the reversing path block, enabling direct substrate handoff, faster transport, and a smaller cleaning layout.
An AGV-mounted robot uses a telescopic arm, sensors, and cooling to automate skimming and scraping near molten aluminum furnaces.
Neural clustering groups visually similar map cells so autonomous systems can reuse training data across regions and cut collection cost.
Parallel auxiliary conveyors and welding robots cut battery module welding cycle time and keep production running during robot or conveyor faults.
A virtual world replica precomputes robot routes around stairs and obstacles, cutting SLAM processing load while improving navigation safety.
Magnetic pad alignment with rollers and sliding rails reduces femoral-region friction and noise in wearable motion assistance.
Dynamic switching between controlled slip and combined clutch modes cuts MR fluid energy dissipation while preserving torque response and positioning.
Intersecting power and control boards save space in robot motor control while improving airflow and forced-convection cooling.
A flexure displacement sensor lets bond test jaws calculate and control closing force accurately, improving small-bond test consistency.
Differential superposition of forward and reverse compliant modules reduces piezo actuator motion to enable large-range ultrahigh-precision positioning.
A passive anti-gravity and coil spring mechanism balances arm weight, stores swing energy, and locks the elbow at chosen angles.
External imaging tracks robot arm position through a chamber interface to correct thermal drift and keep substrate placement accurate.
A recessed solenoid plunger and through-hole access let a robot joint release its lock externally while avoiding unintended motor driving.
Three linked actuators position an EV charging transfer unit with high precision while reducing moving parts and easing shielding from pollution.
A long input shaft with preloaded bearings and harmonic drive support maintains coaxial accuracy under load and thermal expansion.
A mechanical switch lets multiple substrate arms share fewer motors, reducing control burden, cost, and chamber space for vacuum integration.
Fixed robots work with a sidewall-moving buffer to speed vacuum substrate transfer while cutting mechanism complexity and cost.
When a mower robot leaves its driving area, terminal control is locked until code authentication restores safe, accurate remote operation.
A hysteresis-based robot arm brake uses PWM and minimal hold power to keep disengagement stable while reducing heat and thermal expansion.
Automated rod feeding, braking, and bending enable sterile surgical rod shaping while minimizing notches that can shorten fatigue life.
Image-guided robotic headliner mounting improves clip alignment, reduces handling damage, and delivers more uniform vehicle assembly quality.
Optical guidance and a multi-axis robot automate crack sealing, cone setting, and marking while improving worker safety and application consistency.
Elastic segment deformation creates non-uniform magnetization, giving magnetic miniature robots precise six-DOF motion in confined spaces.
Low-roughness shaft holes and low static friction cut assembly effort, raise PV limits, and reduce seizure in robot speed reducers.
Gaze, gesture, and semantic task parsing infer operator intent to stabilize robotic control and improve target selection in real environments.
A passive length-variable locking component boosts rigidity and load support in 6-axis positioning while avoiding larger actuators and added control complexity.
Time-series motor behavior analysis detects atypical robot joint operation early, improving maintenance timing and reducing unnecessary cost.
Historical path reuse and rotary-table pose adjustment cut 3D scan reconfiguration time while preserving accuracy across object types.
A robot-agnostic GUI records reusable mission files and maps them to vendor-specific commands for coordinated multi-robot tasks.
Real-time vision and control adapt robot picking and placement to food and conveyor variation, improving filling accuracy and throughput.
Virtual position tracking and catch-up correction help steerable devices stay responsive while reducing tension and position error under opposing forces.
By placing control electronics inside a robot structural part, this case cuts joint wiring, slims the interference contour, and eases maintenance.
Force and moment feedback let a learning controller tune pressing force, speed, and direction for consistent robot manipulator operation.
Intersecting revolute axes at a spherical link center point lets the distal end member rotate with independently controlled radius and wider range.
GBI-based loss guides trajectories toward sampled goal regions, making motion planning tractable for complex grasp poses and user preferences.
By valuing each object by its effect on flow uniformity, the robot system reduces conveyor overflow and sustains handling rates under fluctuating flow.
Statistical fusion of visual and position sensor data improves alignment accuracy and shortens target positioning time.
Voxel-based CNN prediction guides robotic excavation trajectories for rigid objects in clutter, improving success rates and reducing wasted time.
A machine learning controller helps a flexible robotic arm gain traction and self-propel through confined, cluttered passages.
Directly coupled rotary actuators replace cables in a conical articulated member, enabling realistic tail or vine motion with lower maintenance.
Continuous end-effector motion uses collision and relative rotation to reorient objects for faster pick-up without stopping.
Real-time position and force sensing detects object slip and raises gripper force to maintain stable hold during transport.
Real-time map feedback guides global and local robot inspection paths to avoid rescanning and improve 3D reconstruction coverage.
Pose-based task selection and automated reset let mobile robots train locomotion policies in real workspaces with less human intervention.
Hierarchical position and orientation data enables real-time robot teaching checks, faster correction, and trajectory validation within movable range.
A robotic assembly lubricates and loosens engine fasteners at elevated temperature, reducing cooling delays and on-wing maintenance downtime.
Previously calculated feasibility and weight data are reused across overlapping route segments to cut path planning time and improve maneuvering.
A probability product kernel shrinks the search space for Bayesian optimization of Gaussian mixture robot policies, improving control accuracy and reliability.
Human demonstration data refines subtask models within a skill-template state machine, cutting robot training time and compute cost.
A graphical programming interface lets end users integrate third-party robot hardware and software with less setup time and coding effort.
A dynamically updated 3D robot-machine model generates collision-free robot paths from NC programs, reducing teaching effort and interference risk.
AR overlays robot intent, state, and planned paths in the workspace, reducing context switching and improving safe human-robot coordination.
LiDAR and 3D sensing on ceiling-traveling vehicles build real-time line maps to improve positioning and reduce transport errors in semiconductor fabs.
Combining palm-mounted time-of-flight and infrared sensing improves grasp success detection for underactuated grippers handling varied objects.
Multi-axis electromagnetic field sensing helps a robotic garden tool locate boundary wires more accurately and avoid unintended crossings.
Magnetic coupling transmits force across a sterile barrier in robotic surgery, preserving separation from non-sterile drive components.
An instruction-image interface converts existing picking screens into robot-ready data, enabling automated article picking without costly system changes.
A valve-controlled shunt lets a robotic joint switch between elastic and inelastic states to recover motion energy and cut power use.
Vector graphics let users place, scale, and rotate marking templates on georeferenced maps so mobile robots can generate precise waypoints.
Proximity beacons let warehouse robots detect nearby equipment and motion status, then switch navigation behavior to avoid collisions.
Manual motion corrections are learned as teaching data, shortening robot camera automation time while preserving skilled imaging performance.
Interpolation generates intermediate joint motion parameters to smooth motor and robot movement while reducing user setup and control load.
Real-time zone density prioritization redirects robots to crowded areas, improving guidance coverage and response in busy spaces.
By probing template reference features before machining, one robot transfers hole patterns accurately without manual template fitting.
A mediator system selects the nearest helper robot, customizes it through metaverse services, and speeds task support in smart communities.
Historical task and demographic data are used to predict a robot’s next job and deliver age-appropriate downloadable services.
Real-time position feedback lets delivery robots keep safe spacing, avoid interference, and shorten overall distribution time.
Geometry-aware dimensionality reduction speeds Bayesian robot control optimization in non-Euclidean parameter spaces while lowering variance and cost.
Co-grounding visual observations with segmented instructions helps navigation agents track progress and choose actions in unknown environments.
A mixed joint-control scheme uses position control at the hip and force control at the knee and ankle to improve foot motion precision and response.
A compound screw, spring nut, and gauge work together to maintain precise cable tension, reducing slippage, wear, and service effort.
A voice coil vibration assembly adds adjustable tactile cues to a surgical gimbal, improving robotic control precision while limiting complexity.
Channel-based path planning uses extra robot freedom to avoid obstacles, singularities, and joint limits with less computation.
Trajectory portions are simulated in parallel and then merged to cut machining collision-check time while removing false incidents.
Time-of-arrival sensor data replaces heavy image processing to deliver real-time UAV guidance with lower onboard compute and weight.
Cell decomposition and lane linking generate complete field coverage paths for robots with limited turning radius and obstacles.
Onboard spatial sensors let a medical robot locate patient anatomy and drive its mobile base to an optimal intervention position without external tracking.
By keeping the radiation locus angle constant to head motion, this case maintains machining width and accuracy on curved paths while reducing vibration.
A calibrated articulated tool holder aligns machining and calibration tools to deburr critical aeronautical edges with accurate, consistent radii.
Detachable floor modules create a step-like access route during rack assembly, reducing reliance on large equipment and easing expansion or repair.
Threshold-based coordinate matching lets a scanner start laser machining from arbitrary robot positions while maintaining synchronization accuracy.
Multiple robot singulators and vision control raise parcel throughput by coordinating parallel picks, conveyor indexing, and image processing.
Integrated strain-gauge sensing in the force transfer path captures operator-applied loads for more precise manual robot guidance and teaching.
A self-contact spring structure changes stiffness with torque, enabling precise low-torque sensing while protecting against high-torque damage.
Reconfigurable robotic posts combine sensing, control, and semantic routing to cut manual setup and adapt crowd control layouts autonomously.
A rectangular torsion unit and crossed-beam rotation unit combine to deliver large-stroke two-DOF motion with simpler planar fabrication.
Multi-axis arm supports, extender bars, and height offsets expand surgical workspace while reducing robotic arm collisions.
GPU-based FEM simulation predicts stress, deformation, and grasp stability on 3D deformable objects with less computation and fewer physical tests.
Multiple perception units and a robotic arm reposition objects to scan barcodes from varied angles, improving sorting speed and reliability.
Automatic doors, light curtains, and segmented work cells let a rail-mounted depalletizing robot keep throughput high while protecting workers.
Transition-period feature selection improves malfunction prediction accuracy for mechanical equipment even when failure data is scarce.
Camera-based reference-point mapping guides robot arm motion to a target without manual calibration, reducing setup time and skilled labor.
A mode designator lets one enable device handle both safety enabling and hand-guiding, reducing control complexity during robot teaching.
Vision tracking of a teaching jig guides robot arm position and posture without manual force, reducing teaching burden and safety risk.
A movable support aligned with the spindle stabilizes varied workpiece positions, enabling accurate robotic screwing on all sides.
A virtual 3D scene with haptic feedback lets operators place and move constrained virtual objects to guide robot paths in dynamic environments.
A split housing and connecting plate let a ball screw spline install without disassembly, avoiding pulley-bolt interference in SCARA arms.
Virtual object markers and explicit physical models let autonomous systems generate reusable code that adapts to changing objects and environments.
A maintenance carrier spanning multiple track sections keeps mobile matrix carrier systems serviceable while preserving flexible, high-throughput object handling.
A four-bar linkage and three-axis gimbal improve robotic surgery handle ergonomics, easing finger strain while preserving precise control.
A two-step gesture and language grounding approach lets robots infer shared perspective and final goals indoors without extra hardware.
Visual markers with identification information guide robot mapping in large similar spaces, reducing loop difficulty and false loops.
Pairs of augmented views train descriptor images across multiple objects without masks, cutting labeling effort while improving robustness.
Sensors evaluate workpiece shape and height differences to find stable stacking positions and prevent collapse during robotic loading.
Selective display of moving apparatuses cuts interference check objects and processing load while preserving virtual debugging accuracy.
Machine learning predicts collision-free robotic coating programs that meet target thickness ranges, cutting manual programming time and errors.
An independent safety control subsystem automates maintenance steps and safety configurations to protect technicians near powered robots.
A discrete-time buffer and numerical differentiation keep feedforward inputs consistent as dynamics change, reducing vibration and phase shift.
A VR-based UAV control station uses relay links and obstacle detection to support safer BVLOS operation and lower-risk pilot training.
A modular interface and powered secondary effector setup lets one machining arm handle varied operations without losing precision or range of motion.
Analyzes failed RPA tasks by task type and compares successful execution steps to identify root causes and update workflows.
Robots select the best nearby charger by battery level and distance, reducing service interruptions and return-to-station downtime.
Neural cost-to-go maps replace iterative collision checking, enabling faster robot trajectory generation around obstacles.
Elastic gripper jaws store applied force as spring energy, letting users teach precise holding force for fragile objects through tactile feedback.
Standardized 3D gripping features let optics-guided robots align and grasp varied objects precisely without more complex handling systems.
Real-time sensor feedback lets a parallel robot correct serial robot errors, reducing payload strain during coordinated handling.
Electrical tomography improves large-surface touch and hover sensing with faster processing, lower hardware complexity, and real-time gesture recognition.
Orthogonal electrode zipping and liquid-dielectric hydraulic coupling raise soft actuator strain and force while lowering dielectric breakdown risk.
A trained CFD model predicts collision-free robot or human postures in 3D environments, cutting simulation time and manual adjustment.
Wearable sensors and closed-loop tuning adjust exosuit timing and force profiles to personalize gait assistance and reduce metabolic cost.
Optical markers and real-time pose correction improve machine tool end element alignment despite geometric variation, vibration, and flex.
Vision-guided robotic painting plans and coats multiple drywall surfaces to improve finishing precision, consistency, and labor efficiency.
Sensor-driven pack adjustment lets robots replan object placement when container walls or positions deviate, improving packing precision and flexibility.
Keyword sequences are translated through a programming rulebook into robot-specific code, reducing manual errors and rework.
A screw-adjusted support block lets engineers fine-tune gear mesh depth after shipping, avoiding disassembly and restoring precise engagement.
A motor-driven lead screw linear joint replaces hydraulic cylinders to avoid oil leakage, cut complexity, and improve legged robot actuation.
Axis-invariant modeling simplifies multi-axis robot kinematics and dynamics, reducing computational complexity while supporting stable real-time control.
Graph-based analysis of multi-sensor anomaly data helps robots identify fault causes quickly and adjust or stop motion with less manual tuning.
By comparing simulated and real task success, simulator parameters are iteratively tuned to cut robot data collection time, wear, and reality-gap error.
3D seam detection and sequence planning automate welding robot procedures for complex structures, cutting programming time and cost.
Synchronized temporary transport creates a stable coordinate reference, isolating vehicle bodies from conveyor vibration for accurate robot assembly.
Motion path search uses load mass and joint torque limits to plan heavy-object robot lifts that avoid joint strain and overshoot.
Iterative corrected command positions let a robot arm recover from large position errors without abrupt speed changes during obstacle or force interaction.
Machine learning and video-based digital twins cut simulation data collection time while preserving failure detection in manufacturing stations.
Calculating slider loads and travel distance from robot geometry and motion programs improves linear-guide lifetime estimation and highlights wear timing.
Modular clutch-spring bits give a robotic joint discrete stiffness levels, reducing control complexity, size, and energy use in safe interaction.
Pre-stored position-frequency maps let robot controllers suppress resonance without manual band-stop filter recalibration across operations.
Two coupled parallel linkages replace a complex Chebyshev finger, keeping fingertip depth nearly constant for straighter gripping motion.
Flexible hollow rods bend to fit uneven surroundings while optical sensing tracks deformation, reducing robot complexity in unstructured environments.
Constraint-aware optimization converts robot maneuvers into real-time joint commands, reducing hardcoding while preserving accurate motion.
Dual acceleration limits with different sampling intervals improve multi-axis monitoring precision while preserving fast shutdown response.
Graph-based planning links feasible robot configurations and shortest routes to automate multi-point inspection while cutting planning time and cost.
A self-propelled device uses orthogonal path intersection and 90° offset target points to follow either side of one virtual corridor path.
Superimposed robot motion and viscosity cues in a see-through display help operators understand movement settings without stopping work.
A bi-stable shape memory alloy actuator grips and releases objects through thermal phase change, cutting weight and power versus solenoids.
Real-time distance checks between a user terminal and shopping-cart robot trigger alarms and mode changes to prevent theft and loss.
Spatial mapping and location inference let the robot exclude previously cleaned areas from its path, reducing repeated coverage.
A robot switches between suction and clamping based on object surface and weight to improve grasp reliability while limiting damage.
Torque-sensor feedback lets a multi-axis robot adjust speed and path in real time to prevent collisions while maintaining task completion.
Joint torque data from two non-parallel revolute joints isolates gravitational effects for more accurate robot gravity estimation.
A control sequence pivots the holding tool sideways and rotates it from pickup to target angle to keep carried components clear of machine portions.
Embedded sensing, storage, and communication let robotic modules retain status and usage data for flexible reconfiguration and maintenance.
ML-generated state vectors preserve object identity across changing views and out-of-sight periods, improving robotic tracking and retrieval.
Distance-based robot relocation prevents crowding in one area and restores guidance coverage where users need assistance.
Classified object data layers let robots share only relevant sensing information, reducing processing and network load during cooperation.
Force feedback pauses drawer extraction and tilting so a robot can align stored parts to the camera and image blind spots without damage.
A retractable arm extension lets industrial robots vary working radius by task, avoiding oversized motors and higher robot cost.
Captured robot images are paired with rendered map views so ML can spot low-contrast or transparent obstacles and improve navigation.
A mechanical arm automates biometric attack testing by placing and pressing feature objects consistently, cutting labor, time, and result variance.
External-force guided correction lets a robot arm adjust end position and posture from a motion program while reducing manual positioning work.
Wireless graphical modules on a mobile terminal replace fixed PC setup, speeding CNC-robot programming with G-code conversion and simulation feedback.
Pre-calculated trajectory queues let the robot controller react immediately to signal changes, cutting command delay, motion slowdown, and power use.
Candidate logistics maps are generated from a baseline layout and simulation-tested to improve storage density, transit time, and throughput.
Precomputed stability pools let an exoskeleton enter a tipping state, then converge to stable walking across uneven terrain without external balance aid.
A posture-aligned input interface rotates the command coordinate system to match operator orientation, improving robot teaching accuracy and manipulability.
Using four linear actuator chains and sliding blocks, this mechanism expands 6-DOF workspace while simplifying kinematics, calibration, and control.
Laser-tracked axis center positions and plane calculations cut 6-axis robot posture calibration time while correcting angular errors.
Voxel and spherical depth maps let legged robots update obstacle changes in real time for faster movement, collision avoidance, and balance.