Programme-Controlled Manipulator TRIZ Cases

Slave-operation simulation and candidate location screening improve cooperative robot motion by reducing energy use and task cycle time.

After a robot collision, calculated collision and pushed positions set a safe restart point to reduce damage and restart time.

Two-hand force points and a force sensor let operators move a robot arm more easily in rotational directions while improving control and stop safety.

Personnel sensing and identity checks let a slave arm keep manual operation for the operator while stopping for other entrants.

Robots, conveyors, and ultrasonic slicers automate hoagie assembly and packaging while improving uniformity and reducing labor and contamination risk.

Environmental mapping and user-specific cue points let a caregiving robot cover dead spaces and avoid unnecessary alerts.

Real-time optical feedback replaces encoders in snake-arm robots, improving pose control accuracy and robustness with image Jacobian guidance.

Event detection extracts and compresses only critical robotic data segments, cutting bandwidth and storage needs for remote review.

By moving actuators outside the joint, this modular structure supports compact robot link layouts while maintaining rigidity and angle detection.

Dynamic leg reaction-force control balances end-effector loads, letting a legged robot move and manipulate objects without stopping.

A broadband pulsed light source and spectrometer split one pulse into time-lagged wavelengths to capture high-resolution images at 10 ns intervals.

Cooperating mobile agents use coded surfaces and dynamic feedback to move and reorient components as conditions and user actions change.

A self-aware agent grounds instructions in visual observations to track progress and improve navigation in unseen environments.

Optical deviation sensing guides a placement tool to align tiles or bricks accurately without complex measuring systems.

Machine learning and computation graphs let field devices self-tune control parameters in real time, cutting manual calibration and downtime.

Optical sensing and 3D environment modeling let a mobile robot locate small brake levers and perform rail vehicle maintenance more safely.

Real-time displays, signals, and image-based guidance help operators sort flatbed-cut parts faster and with fewer assignment errors.

A center-of-mass prediction model keeps the Zero Moment Point stable while a mobile robot follows a path and performs expressive limb movements.

A rotating linkage shifts backpack load to the grounded exoskeleton leg, preserving foot movement and reducing musculoskeletal strain.

Force and torque sensing turns the robot arm into a command interface, reducing device switching and divided attention in collaboration.

Adjustable-engagement clutches in a differential actuator vary torque, direction, and mechanical impedance for safer robotic rehabilitation.

Selective frequency filtering switches robot control signals to suppress resonance while maintaining accurate end-effector position and force control.

Usage mode detection lets one servicing tool switch safely between human handling and robot control, reducing dual-tool cost and complexity.

By setting offset link d5 to zero during iteration, this robot controller improves inverse-transform convergence and reach detection.

Reference and idle-period images of a verification symbol reveal calibration drift and trigger recalibration before robot control errors grow.

A robot-mounted camera rectifies marked search-area images during motion to locate varied objects accurately and grip them with less calibration.

By linking 3D object data with gripping information, this case enables accurate obstacle-aware picking trajectories and smoother object arrangement.

Reusing prior motion calculation results speeds obstacle-aware picking trajectory generation for moving works between supply and arrangement containers.

A vision-guided ML model scores candidate end effector motions in real time, helping robots place secured objects in changing environments.

A built-in contact coupling calibrates robot joints precisely without separate equipment, cutting calibration cost and complexity.

Sensor-based learning adjusts robot speed change rates during production to suppress distal-end vibration without stopping the line.

A 2D-to-3D occlusion region around target features helps adjust recognition confidence and improve robot handling in cluttered stacks.

Cost-based planning selects nominal tool poses and joint configurations to reduce collisions and improve precision in under-constrained robotic tasks.

A 3D synthetic robot view shows tools beyond the endoscope field, helping surgeons recover lost tools and avoid collisions.

A manipulator arm nests fully within the track envelope, enabling single-person UGV transport, faster deployment, and better arm protection.

A bent proximal link nests the coaxial reducer between connection bodies, cutting radial size while preserving wide, accurate, high-speed motion.

3D vision and force sensing let a robotic arm plan mixed-item stacks, then snug each item into a stable final position with less damage.

A virtual 3D grid snaps a manually guided robot to discrete positions and poses, improving teach-in speed, precision, and repeatability.

A larger maintenance carrier spans discontinuous matrix tracks to service automated carriers without adding bin-heavy, mechanically complex sortation hardware.

Low-rank preconditioning speeds constrained predictive control by cutting KKT solve cost and memory for embedded real-time use.

Tracks a mechanical arm’s distal end by combining proximal heat-source detection with gyroscope angle data for real-time calibration.