Programme-Controlled Manipulator TRIZ Cases

A compact in-line shoulder joint uses differential yoke actuation to fit a standard trocar while restoring dexterity in single-port surgery.

Partitions SLAM across robots, edge servers, and cloud to cut latency and energy use while maintaining localization under intermittent connectivity.

Perception, grasp selection, and motion planning let robots sort mixed objects in cluttered scenes, even when markers are obscured.

Graph-based joint-space planning helps wafer-handling robot arms avoid Cartesian limits and obstacles while reducing manual replanning and move time.

Expanded hand-and-object interference regions enable faster collision-free placement and release planning inside containers.

Camera images overlaid with a manipulator model replace complex multi-sensor feedback, simplifying remote control while improving stability.

A sensor mounted through the arm and aligned with the rotating wrist keeps the end effector in view across posture changes.

Position feedback from the robot is used to correct peripheral-device commands, reducing timing shifts between controllers with different responsiveness.

Stored sensor maps and a user-defined reference trail let a domestic robot navigate working area boundaries accurately with less setup and supervision.

Predicting robot position before trajectory switching avoids temporary stops and uses interpolation to correct deviation for smooth, accurate motion.

Barcode-guided mobile carriers and robotic pickup automate object routing, boosting throughput while cutting bin count, labor, and floor space.

A CNN predicts grasp success from motion data and workspace images, enabling iterative robot control with fast feedback and better robustness.

Real-time height sensing and discretized overlap scoring let robots place randomly arriving objects without fixed packing sequences or buffers.

Head-motion VR control lets an autonomous robot navigate hands-free, avoid obstacles, and interact with people and IoT devices.

Distinct robot and avatar modes help a communication robot avoid user confusion and build attachment through clear mode arbitration.

Multiple sensor agents fuse observations in a multigraph to estimate object pose and uncertainty despite occlusion, noise, and stale maps.

Ceiling-image Euler angles let an indoor mobile robot save map data only when stable, reducing mapping errors from uneven surfaces.

Multi-angle imaging and depth-based centering help robots annotate, identify, and sort items without manual teaching.

Biological signal feature vectors are clustered and updated in real time to link myoelectric input with robot motions without teacher data.

Direct feedback on robot axis quality helps users teach redundant poses that avoid compensating moves and improve accuracy.

Teaching point data defines the robot working area and camera view, enabling automatic posture calibration without repetitive adjustment or optical markers.

A terminal coordinates multiple action robots through a master-slave link to correct timing errors and deliver synchronized group motion.

Robotic arm throughput and line topology are used to infer unsensed equipment stoppage in branching and merging production lines.

Camera-based molten pool tracking corrects welding speed from arc-to-pool-tip distance, keeping the torch aligned during horizontal weaving.

External-force sensing switches robot withdrawal from reverse path tracking to force-reduction motion, cutting obstacle interference and improving safety.

A shared floor coordinate system with detectors and pose sensors lets multiple robots be reconfigured while maintaining precise coordinated assembly.

A mobile-device intermediary enables multi-user robot control while shifting surveillance data to external or cloud storage for easier access.

Operation and control axes are split so a robot arm tip can be taught intuitively with inverse kinematics, avoiding added force sensors and vibration.

Digital airframe and skin models generate precise shims that cut manual fitting time and fixture needs in aircraft assembly.

Periodic crowd-density sensing and workload-based robot reassignment improve service coverage in busy zones without letting robots stray.

Cached object embeddings let robots share new classifications across a fleet in real time without frequent model retraining.

Tracking correction and force feedback let a robot follow a transported object and keep contact force stable without losing working range.

Null-space control cancels locked-joint motion in tele-surgical manipulators, expanding end-effector range while reducing collisions and setup burden.

Time-dependent navigation tags let a telepresence robot adapt routes and actions to changing environments while keeping control modular.

Digital twin assembly modeling defines gap-filling shims before build, cutting airframe fit-up time and fixture complexity.

Large indoor spaces are split into local areas so robots can use area-specific deep learning models for faster, more accurate positioning.

Manual robot teaching is made predictable by resolving redundant joints in real time, reducing programming errors and collision risk.

Iterative trajectory evaluation helps robot arms avoid obstacles, satisfy joint torque limits, and shorten manufacturing cycle time.

A trained difference model corrects simulated robot state data to better match real-world behavior and reduce costly physical data collection.

Precomputed geometric interaction data enables online force prediction and adaptive NC machining to reduce tool path deviation and improve workpiece quality.

3D scanning captures each flexible part’s unconstrained shape so toolpaths can be compensated without custom jigs, improving accuracy and setup speed.

Variable phase and amplitude functions track robot speed reducer transmission error as gravitational torque changes, improving compensation stability.

Offsetting the arm mount and moving the force sensor closer to the rotation axis reduces torque bias and improves robot force detection accuracy.

Camera-guided item placement lets a robotic shopping cart pick and store products safely in crowded aisles for elderly and disabled shoppers.

A single grid with robotic load handlers stores both storage and delivery containers, reducing conveyors, floor space, and handling cost.

Backstepping full-state feedback and accurate differentiators stabilize flexible-joint teleoperation despite time-varying delays.

Guide channels and a twisted tension band preserve wrist cable life in smaller surgical shafts while enabling lower-cost disposable instruments.

Parallel donor buffers let vision scanning and robotic picking overlap, boosting small-order fulfillment throughput with less human handling.

A single visual demonstration captures multi-robot trajectories, cutting training effort while preserving coordinated task execution.

Early warnings on member supply interruptions help operators clear obstacles quickly and keep mounting lines running at a higher operating rate.