Programme-Controlled Manipulator TRIZ Cases

Using 3D reference and actual anchor point measurements, this case updates manipulator origin offsets on-site without re-teaching points.

Hand-guided virtual pipette movements in a 3D lab model generate control code, reducing scripting barriers for multi-sample automation.

Timestamp-based correlation aligns moving position data with non-contact signals, preserving measurement accuracy on curved glass surfaces.

3D scanning and model comparison guide a manipulator to fit prisms accurately, improving yield and assembly precision without manual alignment.

A pressure-tunable layer jamming gripper first conforms to curved or oblique workpieces, then locks rigid for secure holding.

By estimating holding safety from contact area, weight, and center of gravity, the controller adjusts suction pressure to prevent drops.

A passive spring-based torque adjuster raises static torque at the robot output to reduce gear backlash and improve positioning accuracy.

Occupancy-coupled Q-functions cut multi-agent robot planning time and memory by avoiding the full joint state space.

Corrected position signals remove load-induced vibration and time delay, enabling accurate robot encoder fault detection without extra sensors.

Relative position and speed sensing lets the robot arm vary motion limits in real time to avoid collisions without unnecessary slowdowns.

Dynamic sensor and grasping parameter updates keep 3D workpiece detection and picking reliable as bin conditions and part counts change.

A thickness-graded diaphragm spreads stress in a compact wave gear, reducing fatigue fracture even when the wave generator is close.

A robot controller precomputes singularity-avoiding paths that limit joint rates while minimizing tool orientation deviation.

A compact primary manipulator controller works with secondary controllers to add HMI, I/O, and fieldbus functions without controller replacement.

Dynamic leg reaction-force control balances end-effector loads, letting a legged robot manipulate objects while walking.

A second laser moving opposite the tool head damps engraving vibration, enabling lighter machine structures and sharper image resolution.

Automated tube handling, inspection, and laser slotting improve filtration tube consistency while reducing defects, waste, and operator intervention.

By subtracting calculated gravity and inertia from sensed gripper force, this case improves collision detection during object conveyance.

Location estimation stays accurate under changing lighting by selecting the best stored environment map for monocular SLAM.

Calculates placement and sensor arrangement volumes in a simulated automation process to find non-interfering sensor positions under sensing constraints.

Spatio-temporal object inventory from multiple robots guides adaptive monitoring in high-movement areas to improve tracking and resource use.

Distributed valve and sensor control near the actuator shortens hydraulic lines, improving manipulator response and line-break reliability.

Handling-force sensing and inching motion let operators fine-tune robot position more accurately than lead-through control alone.

CAD pre-positioning plus optical weld detection and force-controlled probe contact enable fast, precise ultrasonic weld testing without collisions.

Simulation-trained prediction models replace repeated industrial system runs, enabling faster performance prediction and parameter tuning.

Multiple robots are coordinated with vision, path planning, and collision avoidance to lift and place heavy or oversized objects safely.

Offline grasp optimization and bin simulation generate diverse, collision-aware training data for robotic picking of unknown jumbled parts.

Spatio-temporal maps let an autonomous robot track people, objects, pets, and weather to choose behaviors better suited to its surroundings.

A combined multi-axis machine and articulated robot layout handles complex shapes and long wood pieces without enlarging the production line.

Measured contact stiffness triggers early robot braking before setpoint force, reducing after-running, penetration, and deformation.

High-resolution RFID and optical scans let a mobile robot identify, locate, and unplug dense fiber connectors with fewer network mapping errors.

Asymmetric wall thickness in a pressurized soft actuator enables controlled bending, broader motion range, lower strain, and better reproducibility.

Projected light paths show a guide robot's intended movement in advance, helping pedestrians avoid collisions and reducing mutual avoidance delays.

Interference-based start timing lets a robot arm and transfer device run in parallel while avoiding collisions with conveyed articles.

Multiple axially moving shafts with constrained motion raise telescopic extension beyond two while limiting inertia and relative speed in parallel robots.

Flexible fingertip structures scoop under items and conform during grasping, improving robotic handling of varied shapes and orientations.

Mass flow controllers and touchscreen setup keep fuel and oxygen ratios consistent across multiple brazing torches, reducing operator error.

AI-trained sensor data identifies object location and orientation despite environmental variation, improving bin-picking accuracy and reliability.

Multiple pick-and-place cycles and optional machine vision let an APS self-teach socket positions, cutting setup time and operator effort.

Predefined 3D bypass paths let a construction robot end effector avoid wall and ceiling obstacles with less planning time and safer access.

A robot uses target and context data to switch among stored, generated, and learned action plans for more responsive task execution.

3D edge measurement adjusts robot coating paths to compensate component, robot, and temperature deviations for more precise paint application.

An integrated physics, data, and machine learning workflow cuts robotics neural skill development time and reduces expert tuning effort.

External force guidance lets a multi-articular robot correct end position and posture during programmed motion, improving adaptability and accuracy.

Electrical tomography enables fast, accurate touch, hover, and gesture detection on large surfaces with less hardware complexity.

A delay-aware controller keeps robotic medical motion overshoot and overtravel consistent during remote network-based procedures.

Imaging and point-cloud verification define minimum viable regions so robots can register and pick unknown packages with less mishandling.

A 3D synthetic robot view adds off-camera tool position awareness to the endoscopic image, helping avoid collisions and recover lost tools.

A fork-pocket temporary shelf board lets robots access cargo without stopping, speeding shelf transfer and retrieval in automated warehousing.

Imaging-guided rotation and pivot control keeps a picked component clear of machine parts during transfer and reorientation.