Programme-Controlled Manipulator TRIZ Cases

2D image-plane line matching improves visual servoing accuracy in robot workpiece installation without relying on inaccurate depth data.

A high-conductivity shaft moves heat away from meshing gears and pins, suppressing temperature rise without adding separate cooling parts.

Elevated 3D depth cameras and pixel masking separate the robot body and shadow from nearby obstacles for safer indoor navigation.

Precomputed position-time data lets robots and machine tools synchronize at arbitrary path points without teaching explicit sync start or end positions.

A clutch-decoupled transfer mechanism lets warehouse vehicles move independently while retrieving items, improving throughput without major infrastructure changes.

Coordinate conversion maps the operator reference surface to the workpiece, improving remote robot control and end effector posture on complex surfaces.

A revised Bellman uncertainty reward isolates epistemic variance to guide robot policy exploration with fewer training episodes and better stability.

Laser distance feedback lets a robot arm correct component position in real time, improving assembly tolerances without fixed offsets.

Direct hydraulic actuation with an arcuate piston boosts rotary speed and motion range while keeping torque consistent and maintenance easier.

Custom callbacks and real-time reactions let robots use sensor data and asynchronous logic without breaking strict timing requirements.

A modular cell holds the vehicle frame vertically and uses a robot lift to cut retooling, labor, and assembly time across vehicle types.

A transport mechanism supports the needed portion while the tool cuts connecting bars, improving component removal without manual separation.

Graphical markers in a simulated physical environment replace low-fidelity coding, enabling reusable autonomous skills and direct device actuation.

Sensor-based behavior switching lets a robot treat human obstacles differently, preserving safe navigation while increasing user interaction.

Opposed wire pairs and independently driven pulleys enable a robotic joint to rotate about two axes for wrist-like motion.

Cameras and robotic arms locate riser bolts and automate joint make-or-break tasks, cutting manual handling risk and offshore connection time.

Mounted cameras and a CNN identify unmarked waste receptacles in textured scenes, enabling automated pickup and sorting with less manual labor.

Dynamic safety zones let autonomous mobile robots reroute around obstacles based on speed and clearance, improving throughput without stopping.

Optical seam measurement corrects adjacent paint track errors, preventing gaps or overlaps in high-accuracy robotic coating.

Precomputed jump trajectories let a legged robot build run-up speed before takeoff, improving jump height without extreme joint speeds.

Selective backup and partial restore let a robot controller switch projects without overwriting stable software or loading outdated data.

Partial-range encoder and inertial-sensor measurements build reducer correction data when full robot arm rotation is impractical.

A shared joint velocity limit based on motion range and deceleration prevents high speeds and collisions near singular poses in surgical robot arms.

Combining a map view with the robot's ambient camera feed improves location identification and reduces navigation errors during remote control.

Robots classify nearby obstacles and apply class-based speed and buffer policies to avoid collisions and respect personal space.

Concentric handle input elements on the distal robot arm improve thumb access, alignment, and comfort during teach-in programming.

Visualize 3D sensor scan regions on welded workpieces to create robot teaching programs with fewer corrections and more reliable inspection coverage.

Voxel and spherical depth maps let legged robots detect obstacle changes in real time and move through tight spaces with fewer collisions.

AI smart rooms test robot sensors, peripherals, and PCBs to catch failed parts early and trigger maintenance before factory output drops.

Dynamic-model control and state-observer estimation improve pneumatic actuator force precision while limiting energy use.

Real-time sensing updates a robot's map and route plan to cut U-turns, avoid obstacles, and improve area coverage.

By dividing robot motion into phases and optimizing node poses with a cost function, complex long-duration moves can be executed accurately.

When parts sit against bin walls or corners, a robot uses an auxiliary tool to reposition them for reliable grasping without extra shaking equipment.

Quadratic optimization replaces complex logic in redundant robot joint acceleration planning to improve control accuracy and efficiency.

A telescopic chain-driven manipulator expands reach in home environments while staying lightweight, stable, and safe around people.

Recorded target points let a robot return to origin through selected waypoints, cutting reverse-program complexity and avoiding unnecessary motion.

By learning a mapping from detected human joint angles to robot joints, robots can imitate poses more accurately and interact more naturally.

Vessel speed signals pause and restart hull-cleaning robots at safe thresholds, reducing fouling while limiting robot damage risk.

Combining CNN velocity prediction with DWA helps mobile robots avoid pedestrians and keep moving smoothly in crowded spaces.

Multi-storey mobile robots and a lifting machine replace shuttle tracks to cut warehouse cost, simplify maintenance, and enable flexible cross-layer picking.

Two-stage neural network training helps robots handle human handovers with sparse input data while improving coordination and collision avoidance.

An integrated pilot head input panel lets operators set predefined robot operations and sequences faster without external keyboards.

A knowledge graph maps resources to control states, enabling dynamic industrial network adjustments without complex direct control modeling.

Predicted robot locations and task progress updates keep fleet maps current, improving warehouse coordination while reducing time, energy, and space use.

Detected actuator-instrument engagement enables faster homing and precise multi-DOF end effector control in minimally invasive surgery.

After an obstruction, the robot uses 3D environment and CAD data to generate a safe recovery path and reduce manual downtime.

Sensors verify that each recipient removes only the correct parcel from a shared robot cargo space, cutting compartment weight and mix-ups.

Dynamic payment timing uses eating status and additional orders to avoid interrupting diners while improving serving robot payment flow.

A 6DOF sensor and three-position switch mask rotational or translational inputs to improve welding setup precision and reduce collisions.

Mounted on a macromanipulator, this 90° offset micromanipulator improves torch control in confined spaces and along complex weld paths.