Programme-Controlled Manipulator TRIZ Cases

By shifting the main body along an inclined axis, this robot balances inertial and gravitational torque while keeping camera view stable.

Timed terminal signals and an attachment member disable monitoring simply while preserving emergency stop reliability during switch failure.

Vibration sensors localize humans in dusty or foggy robot workspaces, cutting optical system cost and complexity while maintaining safe operation.

Virtual scene images label object occlusion states to train robot arms for more reliable picking with less jamming and damage.

A three-rotary-joint linkage creates an adjustable remote center of rotation to match hip motion without body interference.

Adaptive damping and behavior-matrix control improve robot transparency, rigidity, and contact stability during manual guidance.

Printed fiducial markers let sensors locate composite plies for precise cutting and robotic placement, reducing cumulative positioning errors.

Estimating partner and robot self-regions from sensor-derived preferences lets autonomous systems shift from passive to assertive cooperation.

A single vacuum pressure reference detects suction-point faults without per-point sensors, simplifying object gripping while maintaining secure hold.

Time-master detection and control-mode switching help networked industrial machines avoid sync deviations during master changes.

Depth geodesics and implicit 3D object models enable accurate robot pick segmentation from few annotated depth images, even with close instances.

A force-sensed pneumatic travel unit couples load and workpiece motion beside a conveyor, reducing wear and avoiding complex electrical synchronization.

A timing adjustment value lets a counter unit trigger actuator output independently of pulse cycles, improving precision and easing cycle changes.

A movable buoyancy center and sensitivity matrices keep an underwater robot on target posture without posture-specific approximation formulas.

Joint torque sensing lets the controller adjust manipulator motion to keep platform moments below the tip-over threshold.

A welding system selects one source-workpiece ID for the welded part, simplifying cross-machine traceability without adding identifier complexity.

Imaging, machine learning, and robotic cutters identify ripe broccoli crowns in motion to reduce labor, damage, and harvest waste.

A multimodal robot controller combines language, images, and specialized skill networks to improve precision in complex assembly tasks.

Current-limited telescopic actuation improves interaction-force sensing, lighter robot reach, and safer motion in cluttered spaces.

Fixed access points combine wireless coverage with RADAR, LIDAR, and camera sensing to localize robots and enforce dynamic safety zones.

Alternating two side-by-side swing leg groups lets varied mobile robot designs climb stairs stably without extra balance control.

A mobile robot captures worker motions from flexible positions, cutting robot teaching time while improving motion matching and work reproduction.

Depth-camera hand tracking maps natural human poses to robotic gripper motion, reducing training burden while enabling precise object manipulation.

Sequenced weld images and process data feed computer vision to predict defects in real time and support 3D virtual inspection.

A pneumatic force controller detects tool contact, switches bumplessly from position to force mode, and ramps force to avoid workpiece damage.

Set individual robot commands to run or skip through a visual execution-state interface, cutting verification time without branch edits.

Image-guided route generation lets an underwater cleaning machine cover targets autonomously and reduces continuous worker monitoring.

Trigonometric control of two obliquely cut wheels speeds precise horizontal alignment and angle adjustment for high-load equipment.

By comparing real and simulated sensor data, this case pinpoints robot movement discrepancies and speeds collision error correction.

A camshaft and air bladders replace valves and complex electronics to drive soft robots with lower power use and easier hermetic sealing.

A robotic manipulator with vision automates mill liner removal and installation, cutting maintenance time and keeping staff out of the mill.

Bounded tree search and pruning help a robotic palletizer place mixed items stably with lower latency and better space use.

Hyperbolic latent-space geodesics guide robot poses around sparse training regions, producing smoother and more physically practical motion.

Selective ECC protects critical memory in mobile operation devices exposed to electromagnetic noise while limiting memory overhead and speed loss.

Closed-loop vision and 3D object models let a robotic arm pack mixed items with error correction, stable placement, and lower shipping waste.

Base and finger section images are used to calculate robot joint angles and display a 3D robot state without physical arm operation.

Separate sealed openings for loading, roof tool change, and chip discharge keep machining conditions consistent while reducing downtime.

Brushless motors, encoders, and torque-aware lens actuation improve pan-tilt precision, speed, and quiet operation in dynamic scenes.

Combining contractile and extensile inflatable segments enables bidirectional motion with high force, large stroke, and simpler pressure control.

A robot segments a candidate area into footprint-based cells and picks a low-cost target cell to approach moving objects while avoiding obstacles.

Dual safety circuits and power-off protection keep servo drives stoppable during failures while reducing robot control hardware cost.

An added output link on the hand link enables tactile manual guidance and command input while preserving payload and distal tool space.

A cross-shaped stereo camera layout avoids baseline-parallel matching failures and improves 3D robot safety monitoring in open spaces.

Human-guided motion primitives and Bayesian optimization cut robot insertion skill learning time and improve adaptation to new tasks.

Multiple Z-axis detection regions identify shelf misalignment before picking, enabling real-time gripper correction and fewer stuck packages.

Machine learning links robot sensor data to stoppages or quality loss, then ranks factor contributions to reveal diverse failure causes.

Real-time image-guided teleoperation helps robots place diverse items with correct orientation in order containers, reducing packing inefficiency.

Contact-based learning helps a robot choose actions that fit each user's interaction style, reducing mismatched responses and awkward communication.

Shared backbone networks with node, edge, and output adapters cut training time while keeping robot path optimization flexible across tasks.

Laser focal control locates the vertex of a convex optical surface, enabling precise lens positioning for accurate patterning.