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.

Workscope-based robotic kitting enables on-wing gas turbine inspection and repair without engine disassembly, cutting maintenance time and cost.

A shaft-and-rotatable-member joint modularizes external actuation, enabling compact robot link mechanisms without built-in actuators.

Automatic camera-sensor calibration corrects multi-axis positioning errors, improving grasp accuracy while reducing manual setup time.

Child session windows let attended RPA run in parallel with the user on the same apps and file system without blocking interaction.

Robotic assemblies capture engine service data and enable remote operator input, reducing gas turbine inspection time and disassembly.

Multiple force-sensor readings at different arm positions estimate sensor-to-arm coordinates, correcting attachment errors in external force measurement.

Multiple reference centers with shared translational gains help robots correct misalignment in multi-pin insertion without complex angular tuning.

Wearable accelerometer and gyroscope data estimate a worker’s operable region so robots can avoid collisions while keeping a wider work area.

Sensor data sequences identify robot event points and tune event criteria, reducing manual setup while improving automation control reliability.

A prioritized communication scheme handles real-time table data immediately and defers non-real-time polling to keep robotic surgery precise.

Dynamic offset updates based on actual motion direction and distance improve mobile robot point stabilization accuracy near a target point.

Replaying logged robot position points in a visual simulation helps engineers pinpoint the exact time and location of faults.

Camera feedback and recurrent neural networks correct actuator variation and model error to maintain precise robot pose with lower-cost components.

Touch-probe measurements on three workpiece surfaces let a robot calculate frame origin and orientation quickly with less operator input.

3D scanning and sensor-guided grinding generate sharpening paths for varied cutting tool shapes, improving accuracy beyond contact-based 2D methods.

Run-ahead limits let robot controllers adjust path speed from shared position data, preventing collisions without continuous 3D testing.

Vacuum suction through a fastener hole maintains clamp-up from one side, reducing end effector complexity and assembly effort.

Sensor data triggers motorized furniture to shift into preset layouts that improve safety, space use, energy efficiency, and emergency response.

Motor power and position data reveal low-ball-density turf zones, enabling precise restocking with less ball waste and more uniform coverage.

A snap-fit shielding structure hides exposed housing fasteners in a service robot, preserving stable fixation and a seamless exterior.

A safety unit compares commanded and encoder-derived motor positions to detect encoder faults without extra sensors or servo driver changes.

Elastic planet pins bias robot planetary gears to maintain tooth contact, cutting backlash, torque peaks, and noise.

Precomputed dynamic maps let overlapping robot manipulators replan collision-free motions quickly with deterministic, reproducible behavior.

By learning from demonstrations and sensor feedback, robots can execute manipulation tasks in dynamic environments without fixed pre-programmed skills.

Inflatable elastomeric actuators conform to different object shapes, enabling gentle gripping, positioning, and packaging without line reconfiguration.

Trajectory subdivision and optimized enclosing cuboids automate robot safety zones, reducing manual blocking and collision risk.

Real-time trajectory checks from the current manipulator state predict collisions in machining environments before actuation.

Two coordinated robots use voice and image recognition to verify family members at the doorstep and release goods without client intervention.

Imaging-based target detection helps a robot hold tool distance and orientation accurately on curved or angled work paths.

Machine vision tracks human object manipulation so a robot gripper can recreate the task through reinforcement learning with less programming and data.

Local coordinate frames let users define target positions and obstacles more intuitively while the machine computes and stores an accurate end effector path.

Deep learning replaces complex AMR allocation logic to improve path planning, reassignment, and failure response in dynamic industrial environments.

A flexible strain-limiting layer lets soft robot actuators carry sensors, batteries, and circuitry while minimizing strain on rigid components.

Probability maps of object locations help a robotic device spot out-of-place items, cut false detections, and reduce search effort.

Parcels are released while the robot keeps moving, cutting stop-start delays, blocking effects, and energy loss in sorting lines.

Past force-control outcomes train a model to recommend which robot parameters to change after failure, improving adjustment success.

Real-time sensor feedback reshapes robot coverage paths to cut U-turns, adapt to obstacles, and improve area coverage.

Pre-recorded path progress references let a multi-axis robot detect deviations in real time and stop safely during collaborative operation.

CNC file data lets robots calculate gripping points and paths automatically, speeding cut-part unloading, sorting, and traceability.

By modeling linkage parts below 2D and offsetting monitoring spaces, this case speeds safe-space detection with lower computing load.

Human-piloted commands and sensor data are used to generate and refine autonomous robot instructions, cutting transition time and improving adaptation.

Distributed 3D sensors classify occupied and unknown workspace regions to handle occlusions and keep industrial machinery safe in real time.

ML maps simulated images to real-world conditions, reducing manual data collection while improving visual training for robots and autonomous systems.

A hybrid rail-linkage manipulator balances wide workspace with high stiffness and precision while supporting heavy loads.

When a target area is not currently visible, stored images are sent first while the robot moves to capture updated views without delay.

A two-stage grasp selection process uses object and obstacle data to cut calculation load while avoiding interference during robotic grasping.

A ball-joint foot gives a robot-mounted effector local rigidity for stable, precise machining of complex surfaces without a full five-axis CNC.

A balanced poppet and in-cavity actuator cut valve weight and actuation lag while cooling the actuator through the flow path.

Speed coordination between a mobile robot and a moving walkway enables stable entry and exit while reducing balance loss and passenger discomfort.

By combining UWB and lidar in particle filtering, this case improves robot localization in large indoor spaces with sparse features.

Embedded metal members in resin arm bodies reduce weight and cost while maintaining structural strength.

A preshaper component deforms underactuated robotic gripper fingers to curl fingertips inward, resolving flat object grasping limitations.

Segmented translational joints enable a rigidizable insertion tool to access complex gas turbine pathways without sticking.

Passive exoskeleton support system transfers body weight to the ground using elastic leg and sacral mechanisms.

Angle-triggered hip torque generators reduce lower back muscle burden by resisting forward bending while allowing unrestricted walking.