Programme-Controlled Manipulator TRIZ Cases

Motorized joints and an automated tool changer let one tooling assembly adapt to different workpiece shapes with less setup time and fewer tooling sets.

A reusable marker-setting interface lets robot vision switch from single to multiple markers based on accuracy, cutting setup time and complexity.

Real-time feedback adjusts robot motion and discharge settings to keep coating thickness and width stable under changing conditions.

Multiple sensor estimates are compared and tuned by gradient-based feedback to cut endpoint noise errors and reduce manipulator reteaching effort.

Camera-based 3D dock modeling helps mobile robots detect ramps and dock curtains for safer navigation and box handling near containers.

By fusing LiDAR node data with grid mapping and image processing, the robot separates searched regions and obstacles for safer navigation.

Separating gravitational and interference torque corrections improves robot arm positioning by compensating reduction gear bending more accurately.

Precomputed planning graphs let a robot switch paths as its dimensions change, improving collision-free planning speed with limited memory.

A GUI lets users correct robot floor maps and assign area-specific cleaning settings, improving coverage and avoiding unwanted regions.

A modular AGV with articulated arms and interchangeable implements automates planting, weeding, trimming, and crop care on small farms.

A protocol logic module converts encoder data across controller protocols, cutting integration effort and reducing vendor lock-in.

Marked input areas on a robot arm enable fast, accurate contact-position commands without real-time algorithm delay.

Grouping robot action blocks into collections simplifies visual programming panels and makes complex task planning easier to review and manage.

Inspection results are linked to command values to pinpoint abnormal moving parts and store only relevant data for predictive maintenance.

Sensor-guided pressure rail switching predicts actuator demand before slopes or obstacles, cutting hydraulic energy use and noise.

Maps conveyor geometry, orientation, and obstacles into AR simulation so virtual articles reflect real worksite flow and interference risks.

Weight, depth, and color sensing are fused to detect empty picking containers automatically, reducing manual checks and workflow stops.

Optical pointer detection lets operators teach robot paths around obstacles without cable-based straight-line constraints.

An elastic exoskeleton joint uses anisotropic damping and adjustable stiffness to replicate knee motion while reducing rigid-joint movement limits.

Targeted joint and arm-segment motion uses actuation and movement data to estimate friction and center of mass for more precise robot trajectories.

Sensor feedback and operator interfacing help fulfillment robots catch wrong items, quantities, or damage during retrieval and deposition.

A trained difference model corrects simulated robot state data to better match real conditions, reducing physical data collection and robot wear.

Mixed-object sorting uses vision-guided robotic handling and dynamic intermediate station assignment to cut bins, labor, and floor space.

Robots share cached object embeddings to recognize new items quickly across a fleet without repeated model retraining.

Self-aligning clamp jaws maintain force during drilling and fastening of wing box ribs, preventing inter-laminar burring and rework.

Load-sensed multi-axis adjustment aligns a robotic tool module with a clamp aperture for automated drilling and fastening in wing assembly.

Rolling surfaces and spur gears keep snake-like surgical joints synchronized, limiting slippage and dislocation for precise motion in confined anatomy.

Visible path projection and user identification help a collaborative workbench prevent robot collisions while adapting height and task settings.

Continuous linear motion, magnetic coupling, and simple holders shorten end effector tool changes without precise mounting steps.

Dynamic switching between manual and semi-autonomous tool paths helps remove residual tissue while avoiding unintended contact and collisions.

Interactive drag-based pose setting with inverse kinematics cuts robot programming time while preserving precise motion control.

Torque time-series and reduction ratios pinpoint faulty robot joint speed-reduction elements, cutting replacement parts and maintenance cost.

An elastic preload element applies fixed axial bearing force without adjustment, cutting robot joint assembly time while reducing backlash.

Bidirectional AI controller hierarchies and robot reporting reduce information loss, bias, and human delays in autonomous operations.

Tensioned cables, synced linear carriages, and variable-radius spools enable precise planar motion without heavy bearing structures.

Interchangeable base brackets let one robot mount on floors or walls while keeping the base compact and installation accurate.

A shared controller fuses endoscope images to coordinate instruments inside and outside a lumen when access paths differ.

Related setting references are duplicated across categories and connected components, cutting the time needed to find control system settings.

A linear guide and elastic support redirect drilling reaction forces, cutting joint moment so smaller articulated robots can drill in elevator shafts.

Adaptive sliding-mode control improves multi-joint hydraulic manipulator accuracy and suppresses shock and crawling in harsh environments.

Two seven-axis robots and a differently configured middle robot weld or seal moving workpieces from multiple angles without stopping conveyance.

A local GPU aligns remote camera video with head pose using rotation matrices to cut latency and reduce disorientation in machinery teleoperation.

A velocity-based input shaper uses joint frequency maps and phase look-ahead to suppress robotic surgery arm vibration with minimal latency.

Detection-based work information identifies whether a worker or robot performed a task, cutting communication load and tracking time.

Base-mounted drives and coupled four-bar chains cut moving mass while keeping robot arms rigid, fast, and wide-reaching.

Using spherical trigonometry, this case shows how link actuation achieves real-time forward transformation with higher positioning accuracy.

Telescopic leg and body-tilt control let a wheel-legged robot stand in balance and alternate ground contact for stable bipedal-like motion.

A machine learning camera guides an actuator head to detect control orientation and remotely switch multiple panels without manual placement.

Vision, grasp selection, and motion planning automate sorting of mixed objects in cluttered layouts with less manual handling.

Interface recognition and virtual configuration let modular robots verify assembly, calculate positions, and reuse standard modules with flexible motion control.

Robots use vision-based datum detection and coordinate frame registration to assemble varied components without rebuilding locating fixtures.

Sensors and usage history guide robot placement by small region, improving availability where assistance is actually needed while reducing movement.

Station-bound load carrier transport decouples workstations from conveyors to cut waiting time, buffer faults, and speed vehicle body part flow.

A split robot controller keeps real-time control local while syncing full backups to the cloud to prevent wrong restores and reduce downtime.

An integrated in-chamber cleaning mechanism removes dust and swarf from the robot to preserve movement precision without opening the machine tool.