Programme-Controlled Manipulator TRIZ Cases

Separated linear welds between stacked closed-ring wave washers reduce stress deviation, enabling compact flexible members with stable bending and load resistance.

Stored offsets for each camera mount let a robot arm reposition imaging automatically, avoiding repetitive teaching after camera changes.

Distance sensing, mecanum wheel tracking, and clamping help a pipe robot stay attached and navigate bends, flanges, and diameter changes.

FFT-based force sensing adjusts transport speed to match liquid vibration periods, reducing slosh and overflow during movement.

Dedicated neural hardware speeds visual servoing to estimate configuration error with low latency despite noise, miscalibration, and lighting shifts.

Support rollers and height control keep a rotating plate stack aligned during welding, reducing bead sag, deflection, and inclination.

A removable secondary robot lets one sensor-based primary robot switch roles and themes, increasing guest interaction while lowering robot count and upkeep.

A machine learning model predicts communication degradation so a cloud-controlled robot can slow down or reprioritize data before safety is affected.

A learned trajectory prior guides IT-MPC in crowded, changing scenes, improving robot control convergence with fewer costly samples.

A centralized automation server uses API-based control and sensor feedback to coordinate mixed-vendor robots with faster real-time decisions.

Imaging sensors detect exposed package edges and corners to verify grasp regions, enabling safer, accurate robotic de-palletization.

A segmented hub creates sealed internal cable passages through a robotic arm chain joint without reducing chain width, strength, or motion.

Position and contour detection let the safety controller adapt protective fields in narrow passages and transfer stations to prevent collisions.

Offset placement, tilt, and two-direction shifting let a robot palletize boxes with minimal gaps while avoiding pushing, sliding, or toppling.

RGB image segmentation lets robots detect, orient, and pick transparent bin objects when 3D depth maps are unreliable.

Range cameras track human position and motion derivatives to trigger safer automation commands and prevent industrial collisions.

By integrating task and calibration planning, the robot updates camera pose during operation and avoids dedicated calibration downtime.

Force-sensing flexible joint control lets a collaborative robotic arm record and replay smooth welding trajectories with less programming time.

A lockable parallel robot absorbs high terminal insertion force, preserving housing alignment and assembly precision beyond serial robot rigidity limits.

IMU and obstacle sensing let a cart robot adjust motor power and lock drive motion to prevent slipping and collisions on slopes and moving walkways.

3D sensors cluster people, robots, and carried objects in real time to maintain safe separation in collaborative workspaces.

Image-based marker detection calibrates robot navigation for accurate positioning and reliable charging dock alignment.

A pivoting compliant gripper and vision-guided toe-first contact improve part alignment and attachment despite tolerance variation.

Separate reels and a guided wire path prevent entanglement and curl variation in rebar binding, improving feed stability and reducing waste.

A threaded gear-wheel adapter simplifies manipulator arm joint assembly while keeping secure, play-free torque transmission and flexible configurations.

When a robot meets an unlearned situation, additional learning from sensor data and operator input updates the model and restores work continuity.

Hold detection on each robot arm automatically releases only the needed joints, reducing button use and preventing unintended motion.

Low-velocity control-point capture helps operators set accurate robot teaching points faster by turning slow-motion regions into visual candidates.

Audio-visual speaker localization helps a robot track active speakers in group conversations and rotate naturally for stronger remote presence.

Targeted image capture, OGI camera cooling, and CNN classification help a mobile robot detect facility gas leaks with less excess data.

ROI-based vision on a mobile robot tailors inspection by asset ID to detect thermal, pressure, and radiation anomalies with real-time alerts.

A single-grid-space load handler retrieves containers from vertical stacks, improving access speed without sacrificing storage density.

Contact sensing in the robot hand calculates transfer position during touch, improving teaching accuracy without floating mechanisms.

A movable camera platform scores aesthetics and saliency to pre-select appealing images, cutting manual review and boosting sharing readiness.

RFID signaling and magnetic parking-station sensing permit tool release only under safe conditions, cutting coupling wear and maintenance.

Unidirectional lane annotation and robot priorities prevent blocking at conflict regions, enabling collision-free multi-robot routing.

Parallel links replace gear meshing to drive a transfer tool swing axis without an oil bath, cutting radial load, size, and maintenance.

Ordinary camera images and CNN keypoint detection let robots imitate human joint motion without depth cameras or wearable devices.

Vehicle sensor data reshapes robot safety zones so automated vehicles can enter work areas without unnecessary robot stops or collisions.

By comparing sensed and estimated external force, this robot control approach corrects torque commands to limit impact while maintaining stable, precise motion.

By comparing detected and matching positions in sensor images, this case automates parameter tuning for accurate workpiece positioning.

DAG-based protocol generation cuts robot programming effort, reduces pipetting errors, and speeds automated experiments across lab platforms.

Adaptive axle load thresholds and speed-based modes improve robot collision detection reliability while reducing false alarms.

Real-time scan feedback and map comparison let a marking vehicle self-correct position and follow planned paths in complex workspaces.

Radial stator pushers rotate a cammed rotor to transmit torque across a sterile barrier without twisting it or adding complex joints.

Robots compare expected and actual kinematics across a fleet to separate sensor drift from environmental changes and correct errors in real time.

A self-contained platform combines mast-mounted cameras, LIDAR, and onboard controls to relocate robotic arms without complex remounting.

Depth imaging and AR feedback correct torch push and work angles on weld seams, reducing robot welding training effort and user error.

Sparse workspace sampling and interpolation improve robotic arm-depth sensor registration, compensating non-linear bias without explicit sensor models.

3D profilometer scans let a robotic arm map bent blade geometry and adjust grinding paths to reproduce the original edge profile.