Programme-Controlled Manipulator TRIZ Cases

Voice recognition lets workers start robot actions and reset alarms without touching controls, avoiding task interruption and glove removal.

Image-based feedback corrects unintended endoscope camera motion, preserving intuitive control without sensor-driven image lag or quality loss.

A compliance assembly lets headstock and tailstock swing arms transmit torque despite misalignment, reducing bearing load, drag, and workpiece distortion.

Point-cloud training with collision and grasp-stability losses helps multi-finger grippers predict reliable grasps for unknown objects in cluttered scenes.

Production cameras send feature values during capture and upload stored raw images in idle periods to cut network load without losing defect analysis data.

By encoding symmetry transformations into neural network architecture, this case cuts labeling effort while preserving generalization to unseen data.

A single motor drives interchangeable robotic tool tips and tip rotation, cutting mass, power demand, and space manipulator complexity.

A split laser and two detectors simplify tool center point calibration, avoiding complex calculations and precise light source adjustment.

Adjustable light positioning and energy control remove paint layers precisely while protecting the underlying object and shaping riblet surfaces.

Dynamic sequencing decouples pallet planning from case order, handling misqueues while keeping mixed-case pallet builds stable and steady.

Hierarchical wiring diagrams and finite-state sequencing enable real-time robotic mode switching without unstable side effects.

Multiple perception units and a robotic arm reposition objects to capture barcodes from varied angles, improving automated sorting throughput.

Range- and density-based point cloud decimation reduces robot interference-check processing load while preserving accuracy in robot regions.

Maintaining a constant guide gap helps continuum robots offset wire friction and improve bending and rotation control accuracy.

Optical measurement of suction pad deformation across different object masses reveals wear, improves maintenance timing, and helps prevent line stops.

Alternating strain-gauge sets and processor compensation remove torque ripple, enabling accurate internal torque measurement in harmonic drives.

Robots and on-device test apps automate functional checks on phones, tablets, and wearables to cut manual testing time and human error.

Environment sensors verify virtual safety border positions against real obstacles, cutting setup time and reducing collision risk.

Object-neighborhood graph neural networks coordinate decentralized control agents to improve machine handling of multiple objects with less communication overhead.

Vision-guided alignment and grasp planning improve object pose handling, packing accuracy, and container utilization at high throughput.

Load cells in gripper linkage arms capture full finger force direction and magnitude without adding compliance, friction, or wiring complexity.

Dynamic counterweights and sensors keep a UAV manipulator balanced, enabling stable flight and precise handling of fragile payloads.

Closed-loop ink circulation maintains target pressure at the end effector, enabling irregular brush-like marks on varied surfaces.

A common joint velocity limit derived from motion range helps surgical robot arms slow safely near singular poses and stop smoothly.

Mobile storage units, conveyors, and a robotic arm automate carton picking to cut errors, save floor space, and speed warehouse fulfillment.

Switchable end effectors let each robotic cell adapt to different manufacturing steps, cutting footprint, buffering, and cell dependencies.

Marker-based coordinates and robot shape data remove robot points from 3D scans, improving interference region accuracy in industrial workspaces.

Combining on-board pose data with distance measurements enables millimeter-level instrument head position and orientation on changing construction sites.

Synchronized infrared pulses and 5G/6G messages let nearby robots identify the sender, localize direction, and avoid collisions.

By switching backlash correction frequency based on joint stop state, this case cuts robot arm vibration and trajectory error during reversal.

Using multi-position 3D scans, this case improves robot position accuracy without the high cost of laser tracker calibration.

Dual visual markers let a mowing robot compute its location and movement boundary without complex visual servo or satellite positioning.

Stepwise camera setting changes let a mobile robot recover marker recognition in changing environments and reuse successful conditions later.

Two visual positioning markers let a mowing robot compute its location and boundaries quickly without complex satellite-based navigation.

Dual-channel position sensing stops and retracts a collaborative robot tool on contact, reducing operator counterforce and injury risk.

Real-time sensor feedback tunes exosuit actuation timing and force to personalize gait assistance, improving metabolic benefit and comfort.

Dynamic detection zones let self-propelled robots suppress motion by operating state, reducing unnecessary stops while maintaining collision safety.

Multiple images detect conveyor-induced lateral oscillation, letting the robot correct position commands for accurate continuous work.

Visual and laser odometry compare image-based motion with other sensors to detect extrinsic bias and maintain robot localization.

Configurable robot speed, path, and switching conditions trigger timely glue-gun closure to prevent hung glue and improve process quality.

By merging layout elements into optimized swaths, the robot cuts print operations and positioning time while preserving layout accuracy.

Multiple camera poses capture hidden surfaces and corners, improving object structure estimates for more reliable robot motion planning.

Adaptive search-range correction helps robots detect and pick deformed bagged objects accurately despite stacking and compression.

Real-time traction sensing lets the robot suspend soil cultivation on wet or dry ground to avoid slip, tool damage, and wasted energy.

Integrated action and constraint instructions let a separate safety controller enforce manipulator limits and switch to safety mode on violations.

Combines overlapping robot maneuvers by cost to generate feasible joint commands faster while respecting physical and environmental constraints.

Protocol conversion and feedback-based modification help robots standardize cell culture steps and improve yield consistency across platforms.

A switchable rigid-to-compliant end effector coupling isolates tool vibrations during surgical drilling while preserving positioning accuracy.

Joint-mounted accelerometers localize collision position and force in real time, enabling accurate robotic arm safety responses at lower cost.

Projected context-sensitive machine data keeps remote operators focused on the work machine while improving awareness, precision, and safety.