Programme-Controlled Manipulator TRIZ Cases

A vacuum-side rotation restraining unit keeps sealing intact while cutting rotary feedthrough height and radial footprint in manufacturing robots.

A detachable coupling lets transport and robot units work independently in additive manufacturing, cutting idle time across workstations.

Robotic inspection with machine learning checks gas turbine component position and damage on-wing, reducing disassembly time and downtime.

A cable-wound drum transmission changes robot joint axis orientation while cutting weight, backlash, and installation space.

Two-stage stereo imaging keeps the target mark in view, then widens parallax for more accurate robot-to-workspace deviation correction.

Fusing color and depth images, the robot detects tire gap and underbody height to enter vehicles safely in narrow parking spaces.

Semantic scene recognition selects only relevant sensor data for robot pose estimation, improving positioning accuracy in complex environments.

A potted inner-tube and outer-sleeve assembly boosts pull force while sealing fluid and limiting abrasion under high pressure.

Task prompts are split into sub-steps, checked for competency, and validated with retrieved knowledge to reduce over-confident execution.

Delaying position commands to align with velocity feedforward cuts phase mismatch, noise, and overshoot in robot servo tracking.

A simulated welding view captures skilled torch motions without robot arm occlusion, improving motion teaching accuracy and weld quality.

Precomputed photography points and movement paths cut camera repositioning time while maintaining full surface inspection coverage.

Sequentially updated time regions keep at least one timestamp readable, enabling accurate camera-to-display delay measurement.

Monitoring unlock signals before motion blocks commands when a joint brake stays engaged, preventing robotic arm motor wear and burnout.

A clutch-switched dual-drive vehicle works with modular transfer units to raise inventory throughput without full infrastructure replacement.

Dual position sensors calibrate the kinematic model so a construction robot reaches end-effector targets quickly and within 5 mm.

UWB-guided ground robots surround a UAM vehicle to detect obstacles, prevent collisions, and guide passengers safely between gate and pad.

Sub-step competency checks and targeted information retrieval help an autonomous tool controller reduce hallucinations and improve task execution.

Distance sensors on a jig wafer automate robotic arm alignment and lift-height correction in a vacuum chamber, cutting downtime and retooling.

LED flashes in the camera FoV verify latency, throughput, and reactivity, enabling low-cost depth cameras in safety-critical robot navigation.

Machine learning predicts user motion and updates a robotic arm’s 3D navigation path in real time to avoid collisions during surgery.

By projecting 2D-detected markers onto a 3D-detected plane, this case improves coordinate setting accuracy for robot teaching.

A shuttle takes over item transport after robot pickup, cutting arm travel time and improving sorting throughput with fewer dropped items.

Switchable robot arm control lets a second surgical instrument or direct arm input replace a console, improving OR flexibility and staff clearance.

A two-stage asymmetric critic-guided student model cuts retraining and data collection for accurate multi-task robot control.

Rotating locking members engage a humeral undercut to secure a stemless shoulder implant while preserving bone and improving placement stability.

A universal motherboard and shared power-data bus let interchangeable robot modules plug in without dedicated signal lines, cutting complexity and cost.

Remote teleoperation lets robotic assistants handle complex tasks while geofencing, image blurring, and managed operator assignment protect privacy.

AI cameras localize and control mobile robot fleets without onboard sensors, cutting robot cost, energy use, and failure points.

Few-shot robotic bin picking learns from failed grasps and uses item perturbation to create new pick points with less human intervention.

Camera-based keypoint labeling and orientation estimation help a robotic arm pick obscured objects with precise, delicate motion.

An onboard LED tests a robot depth camera in real time to verify latency, throughput, and sensing reliability for autonomous navigation.

RGB-D point cloud grasp planning uses depth differences and quality scoring to pick unseen objects reliably in dense clutter.

An ANN feedforward controller improves milking robot arm trajectory tracking under non-linear hydraulic actuator behavior.

Beacon radio direction is checked against distance sensor data to separate LOS from NLOS signals and improve mobile robot positioning.

Sensor-based registration establishes relative position and orientation between movable manipulators for precise tool control and collision avoidance.

Automated reference-arm positioning aligns following surgical robot arms for faster pre-op setup, higher accuracy, and lower sleeve contamination risk.

A movable 3D imaging unit tracks conveyor speed to cut motion blur and capture accurate workpiece data for precise picking and sorting.

Automated dual-camera calibration aligns a surgical robot, robot camera, and external camera faster and with less manual error.

Real-time image and sensor analysis identifies anatomy and adjusts robotic arm motion to improve targeting while minimizing tissue damage.

Opposing actuators keep both transmission paths under minimum tension, improving instrument DOF control in tight minimally invasive workspaces.

Training and test sensor data are used to estimate friction and CoM, compare predicted actuation with residuals, and judge robot calibration quality.

Point-grid sphere generation with overshoot and pruning cuts robot mesh collision-check computing time while preserving useful accuracy.

Eddy current probes check fastener conductivity during automated handling to confirm material and avoid wrong-part installation without damage.

A geometry constraint-based calibration process jointly fits robot tool and work object parameters to reduce error propagation and improve path accuracy.

Impulse actuators and a learned closed-loop controller reorient varied parts on a surface without hard reconfiguration or manual handling.

Dynamic gain reduction during synchronous mode aligns objects with different responsiveness and cuts timing shift without complex control.

A rotatable binding mechanism aligns with oblique rebar intersections, enabling precise automated tying across multiple crossing angles.

Common-mode voltage on differential lines carries emergency stop signals between robotic nodes without extra wiring, improving speed and reliability.

Physique-based taught-point correction lets one robot adapt workpiece position and orientation to different workers without reteaching.