Programme-Controlled Manipulator TRIZ Cases

Servo motor current trend analysis predicts robot drive residual life more accurately, enabling planned maintenance before breakdowns stop production.

Automated robotic handling, visual recognition, and monitored packaging reduce pathogen exposure and sterilization errors for dental instruments.

Recipients can collect items before final delivery through location sharing, route updates, waiting control, and temporary access keys.

A translatable barrel cam converts simple actuator motion into precise jaw closure and articulation, improving robotic surgical control with less operator fatigue.

Edge devices store queries, generate approximate responses, and cut value-chain network traffic while improving response time.

Automatic robot planning uses sensor-guided high-accuracy viewpoints to maintain precise pose estimation for occluded or complex objects.

Optical feature tracking estimates robot arm joint positions without encoders, reducing wiring, weight, and sensor complexity.

Adjustable support members and load sensing stabilize a surgical table on uneven floors while limiting vibration and preserving robotic accuracy.

Autonomous robotic posts move and reconfigure into barriers while gathering and presenting information for adaptive crowd and traffic control.

Camera-captured spatial data and non-linear optimization help place a robot manipulator for faster workpiece access with lower wear and energy use.

Spiral fibers in an expanding flexible body convert direct fluid injection into wider rotary motion, higher torque, and faster pressure response.

Shared instructional information lets robots reuse learned work guides, cutting manual teaching effort while protecting secret data.

Embedded sensing, local data storage, and module communication enable robotic hardware to be reconfigured quickly for different industrial tasks.

Adaptive multipath wireless links use robot sensitivity values to keep cloud robot control stable during path loss or delay.

A CNN enhances sample tube top circle edges while suppressing barcode and tray edges, improving robotic handling in diagnostic analyzers.

Coordinated robots inside and outside the mill automate liner removal and replacement, cutting downtime and reducing hazardous manual handling.

An integrated rotary joint in a planetary gear train transfers fluid without external tube bundles, enabling wider arm rotation and lower leakage risk.

Internal joint motorization and worm-gear control free robot arm rotation, cut footprint, and reduce collision risk.

Onboard cameras and laser scanners inspect racks, pallets, and routes during truck operation, cutting manual checks and extra hardware.

Paired visual and tactile data train a model that estimates slipperiness and hardness from images, helping robots grasp objects more precisely.

A plunger-driven embeddable pinch valve localizes soft-tube flow control, cutting tubing count and valve weight in fluid-driven soft robots.

Precomputed fixed via points and attributes simplify robot path setup while preserving accurate holding, approach, and retreat positions.

Kinesthetic demonstrations are converted into task-parameterized skill models so robots can adapt object manipulation to changing scenarios.

Camera-detected pipette tip and container positions turn manual pipetting into robot control code, avoiding complex lab automation scripting.

Using one optical marker and an optical tracker, the robot determines platform position and orientation faster while maintaining site positioning accuracy.

Push-forward path control clears blocked collaborative robots in narrow test lanes, protecting test data accuracy and avoiding dispatch loops.

Tagged circulation-box slots guide pickers to place items by order during one robot trip, removing sorting steps and speeding e-commerce fulfillment.

A virtual obstacle inserted between multiple obstacles helps predictive control avoid collisions without stalling or causing large detours.

Fluid-actuated hollow elements reshape a touchable 3D surface in real time while synchronized projection adds realistic visual detail.

Multi-sensor tracking combines TOF, LiDAR, ultrasonic sensing, and cameras so a cart can follow a user, avoid obstacles, and ease manual handling.

Reaction-force sensing guides corrected roll-forming paths, cutting setup time and waste while improving forming quality on variable workpieces.

Pre-calculated dynamic roadmaps coordinate overlapping robot workspaces for deterministic multi-arm re-planning in under 100 ms.

Three variable-length links give a compact robot joint full torsion motion without the complexity and motion limits of conventional 3-DOF designs.

Orthogonal-moving carriers on track networks cut bin count and divert hardware while raising throughput in object processing lines.

By adding time to robot path planning, this case maintains safe distance from moving obstacles while reducing collision risk and computation load.

Automatic fluid spring adjustment and arm locking help exoskeleton tool arms handle changing tool weights while preserving balance and mobility.

Value-distribution critics let robots rank continuous actions more conservatively, improving generalization and task stability in new environments.

Machine learning adjusts measurement start position and sensor speed to handle placement variation, cut takt time, and avoid sensor damage.

Image-guided positioning lets a robotic arm print and apply labels on the conveyor, cutting retrieval and positioning delays.

Sensor-based virtual barriers let a remote robotic manipulator scan surfaces and limit arm motion for safer work in hazardous, tight-access spaces.

A high-precision position drive paired with a lower-precision torque drive balances robot joint loads while keeping control accurate.

Dynamic worker identification lets a collaborative robot adjust slowdown distance, preserving safety while avoiding unnecessary stops.

Virtual 3D models of the robot, press machine, and workpiece detect collisions and auto-modify motion paths and speeds.

Machine-learned robot trajectory prediction replaces costly RCS modules, improving simulation accuracy across varied kinematics.

Ultrasonic reflected-wave intensity is used to locate the weld center and set robot teaching points with higher inspection accuracy and less detector damage.

Coordinate position commands let CNC and robot controllers work together without separate robot teaching, simplifying cooperative machining.

Ultrasonic reflection data locates the true weld center so a robot can reposition its detector faster and inspect misaligned welds more accurately.

Model-based intermediate-state switching lets a robot move from torque to position control for accurate gripping with fewer oscillations.

Palm-mounted stereo sensing and variable stiffness let a robotic gripper detect and manipulate small objects with higher precision and compliance.

Torque trend modeling predicts robot drive axis failure across changing work programs, reducing mismatch between predicted and actual failure.