Programme-Controlled Manipulator TRIZ Cases

A dished brake star impact surface spreads emergency-stop forces from the bolt, cutting tooth deformation and extending robot joint brake life.

Multi-axis force thresholds let the robot slow or reverse only critical motion directions to prevent force sensor overload and failure.

By overlaying height data onto 2D maps, this case shows how a self-movement robot plans paths through low-clearance obstacles.

Master-slave safety signaling lets multiple robot cells share one laser oscillator without hard-wired safety cables or a safety PLC.

A robot-mounted 3D measuring unit maps obstacle regions automatically, cutting manual input errors and enabling accurate collision-free path generation.

Cloud-hosted digital shadows shift machine simulation beyond local limits, enabling detailed, collaborative, real-time processing-machine analysis.

A steel-aluminum robot link with an embedded deformation suppression element limits bimetallic deflection while keeping complex guide profiles manufacturable.

Grid-based stay costs steer a lawn mower robot away from repeated passes, reducing lawn damage and improving coverage without wire boundaries.

Instrument-guided and touch-based robot arm control removes the console, saves operating room space, and reduces staff interference.

Switching from an initial simulation model to updated models reduces overlearning, stabilizes rewards, and improves automatic machine control.

Separating linear positioning from wrist rotation cuts motor coordination complexity while enabling fast, precise assembly in compact shared spaces.

Switching among positive, atmospheric, and negative pressure gives a bag actuator three stiffness states for more adaptive and stable workpiece gripping.

An interface engine links RPA processes to start menus and search bars, making automation easier to find, launch, and pin.

Switchable straight and arc guide rails create multiple production loops, enabling fast line reconfiguration for mixed products and operations.

Provisioning rules and job-based task assignment configure 3D-printing robot fleets to match system status and manufacturing requirements.

Sensors, GPS, LIDAR, and mobile predator mimicry let robotic units track species-specific animal behavior and reduce crop and property damage.

Marker-based coordinate setting and point-cloud plotting let welding robots generate accurate paths for varied layouts while avoiding interference.

Contact force and moment are calculated and controlled, while velocity overlays help operators improve polishing and fitting quality.

Surface image analysis sets suction start and wait timing for wrapped objects, reducing vacuum leaks and improving robotic conveyance stability.

Optical scanning builds a part model and adaptive toolpath so a robotic sanding head can maintain target force on varied contours.

A 3D-measured reference frame lets a manipulator return to different workstations without reteaching points, preserving precision and saving time.

Time-series robot signals are compared with reference playback data to detect early failure signs and support timely maintenance.

Tilting, offset shifting, and gravity-assisted release let robots place boxes tightly while compensating for perception errors and box weight variation.

A mobile enclosure contains UV or plasma disinfection to one surface area or object, reducing exposure risk while enabling automated cleaning.

Selective suction zones and vision-based overlap checks let a gripper lift one box from a walled container without hitting walls or grabbing neighbors.

Token-based exclusive access enables slot-dependent safe fieldbus coupling of removable devices without DIL switch setup.

Suspending fault checks after long machine stoppages cuts false alarms from oil viscosity changes while preserving in-operation detection accuracy.

Automatic tuning measures actuator pose and generates control parameters, cutting retuning time and expert effort in robotics.

A unified grid stores both storage and delivery containers, cutting conveyor complexity, floor space, and energy use in order processing.

Integrated force sensors and 6-DOF adjustment improve micro-assembly precision by stabilizing parts against tremors and gravity.

Pre-sorted bins and synchronized robotic retrieval automate kitting of diverse, fragile items while reducing manual intervention.

Integrated electrodes and dielectric fluid drive expansion while the embedded strain sensor measures deformation without external fluid supply.

Projected previews of upcoming robot arm axis movements help workers anticipate motion, reducing collisions and cycle-time disruptions.

A sliding mount and magnetic coupling simplify robot hand detachment, cutting parts, weight, and cost while keeping waterproof operation.

Virtual robot models are overlaid on the real workspace so operators can teach positions without moving the actual robot.

Automatic price and delivery comparison lets an agent robot split purchases between physical and online shops to cut shopping search time.

ML models predict object manipulation parameters from remote inputs and vision data, cutting robot idle time and operator guidance.

Semantic markers and a world model let autonomous machines reason about available objects and skills, easing reconfiguration and error handling.

Magnetic disc swivel joints, pulsed LED timing, and force-feedback balancing help this manipulator move fast with fewer sensors and lower noise.

Split intermediate flange pieces open radial access to joint fixing members, easing motor removal while reducing workspace and preserving the reducer seal.

A laterally movable, retractable handler lets a warehouse AGV reach into shelves without turning, improving precise item retrieval in crowded aisles.

Feedback distance sensing lets a dog-walking guidance vehicle hold leash spacing, keep the route stable, and guide the dog automatically.

Training and test sensor data are used to estimate friction and center of mass, predict actuation, and quantify robot calibration quality.

Priority-based force mapping and support-force optimization cut calculation time and hardware load in multi-legged robot joint torque control.

A detachable ultrasonic robot punching setup cuts bumper holes across models with less deformation, burrs, and custom cell complexity.

Training on images from varied welding conditions helps this model extract molten pool, wire, and arc information more stably and accurately.

Deep reinforcement learning trains robot controllers from sensed robot interactions, reducing complexity and improving scalable cell reliability.

Relative motion between two planar platforms adjusts tool height and working state without cables, preserving free XYZ positioning and precision.

Fused visual and tactile compression helps robots choose actions under occlusion while reducing high-dimensional processing load.

A physical simulation model and machine learning predict gravity and collisions to optimize control parameters and action sequences.