Programme-Controlled Manipulator TRIZ Cases

Autonomous robotic posts use optical sensing and semantic control to reconfigure crowd barriers and secure item containers with less manual setup.

Dynamic force and velocity energy distribution helps robot actuators adapt to changing environments while maintaining precise position and force control.

Gravity- and orientation-based parameter setting keeps 3D position calculation accurate as camera angle changes, without fixing sensor pose.

Engineered robot-control episodes guide RL training, reducing sparse-reward failures and domain shift while enabling selective policy replacement.

Recorded marker-tracked poses let measurement paths be replayed accurately, improving 3D metrology without retroreflector tracking.

Sensor fusion maps lined pipe interiors and overlays branch opening locations, enabling precise robotic cutting to restore fluid communication.

Motor encoder signals reveal backlash oscillation in industrial robot joint gears, enabling reliable wear monitoring without extra sensors.

Leakage-flux sensing and built-in degaussing help verify magnetic coupling quality and remove residual magnetism from workpieces.

Dynamic staging assigns robots to shared charging or maintenance stations to keep fleets ready while reducing idle resources and pathway congestion.

By pairing return and fetch tasks using robot position and idle storage data, this case cuts travel time, energy use, and handling delays.

A 3D robot model records candidate stop points and batches motion conditions to cut off-line teaching time while improving visibility.

Built-in servo control, sensors, and stored gripping recipes cut wiring and programming effort for quick gripper task changeover.

Sensor logs from past collisions are converted into image-based training sets so robots can predict moving-object impacts earlier and avoid them.

Machine-learned quality assessment helps optimize robot run-throughs when force or joint data cannot reliably judge complex tasks.

A compressible first stop absorbs collision energy before a rigid hard stop limits further robotic arm rotation, reducing impact damage risk.

Structured work information files make robot work sequences easier to confirm and correct while preserving automatic motion program creation.

Shared environment information lets distributed controllers trigger device actions autonomously, easing host programming and coordination load.

Inner coils fitted into outer coil gaps stabilize bending, prevent catching, and keep axial rigidity without complex disc assemblies.

Wi-Fi device IDs let a robot verify an elevator's floor, while RSSI sensing confirms door opening despite interference or server disruption.

Automatic cart remodeling matches blueprint data, then repositions limiting blocks with jacking and robot grippers to cut manual changeover time.

A photosensitive array tracks incoming laser light to calibrate docking position and improve connection accuracy and efficiency.

Vision, suction gripping, and force feedback let robots place fragile mixed parts into tight tote slots with accurate alignment and less damage.

Operator force and torque sensing on an AACMM hand control improves manual guidance while preserving probe measurement accuracy.

Kinematic mounts and multi-stage locking secure robotic arms to surgical tables with precise alignment, fast attachment, and quick release.

A welding system keeps one selected identifier readable and hides others at the joint, simplifying weldment traceability across production steps.

Combining pre-planned paths with camera-based repository detection helps robots transfer objects faster and more reliably despite pose variation.

A telescopic camera on the robot captures and stitches multi-angle images to read indicator lights blocked by metal mesh doors.

Discrete TCP waypoints and updated distance heuristics cut path-planning load for multi-component end effectors on large curved surfaces.

Deterministic dynamic optimization plans collision-free manipulator trajectories in closed kinematic systems with lower computing time and real-time adaptation.

Guiding a robotic arm along a collision boundary preserves user-directed motion while preventing contact under secondary constraints.

Visual-feedback teleoperation uses intent prediction and model predictive control to cut operator load while improving collision avoidance.

A two-group actuator layout balances heavy load support with a flatter 6-axis platform and wider workspace through upright and flat actuator roles.

A layered soft exosuit combines load distribution, elastic stability, and active actuation to assist gait and sit-to-stand without rigid exoskeleton bulk.

Camera-based table monitoring detects low consumable levels and sends timely service instructions to a waiter robot without user proximity.

Local embedding caches let robots learn new objects instantly and share compact classifications across a fleet without model retraining.

Iterative pallet-stack simulation uses item attributes and state estimation to choose stable, space-efficient box placement with lower latency.

CNN-based object recognition and AI sorting selection are validated in a digital twin to improve handling accuracy and reduce damage risk.

Robots show emotional expressions when recognition or action decisions are difficult, clarifying intent, improving user attachment, and limiting power use.

Predefined recovery-position restart logic lets integrated system and user programs resume robot operation after protection stops with less manual intervention.

Structured noise maps linked to robot-motion parameters improve indication precision and cut costly real-world testing in robot development.

Real-time motor current, speed, and acceleration changes enable accurate collision detection without extra sensors or complex housing.

Distributed context sharing lets robots assign tasks locally, maintaining indoor service continuity when a management server fails.

Geometric simulation and item attributes guide box placement decisions to build stable mixed-item pallets with lower computation and faster cycles.

A segmented conveyor with protected and open pickup zones lets a robot palletize printed stacks while preserving operator access and safety.

Force and flange-geometry feedback let a robot self-adjust roll folding to maintain target fold quality without manual optimization.

Graph-based PLC log modeling improves anomaly detection in automation equipment while supporting continuous monitoring and fewer process interruptions.

Brake test torque in both directions reveals robotic arm joint friction without extra sensors, helping catch brake defects and wear early.

3D point cloud matching helps a maintenance robot identify aircraft and determine relative position without prior location data.

Dynamic bin assignment and recirculating containers raise parcel sorting capacity while reducing floor space, labor, and mechanical complexity.

Autonomous navigation and target recognition combine UV irradiation with disinfectant spraying to cover large facilities without manual exposure.