Programme-Controlled Manipulator TRIZ Cases

Controlled hot and cold fluid circulation improves artificial muscle response speed and energy efficiency without resistance heating.

Vision-guided robotic singulation redistributes mixed objects for flexible routing, higher throughput, and fewer collection bins.

Modular guided vehicles switch accessory modules and move horizontally or vertically to expand warehouse inventory capacity without costly infrastructure replacement.

Real-time stiffness switching in infinite-rotation VSAs helps supernumerary robotic limbs balance safe user contact with accurate task execution.

User sketches and load-based infill planning improve continuous fiber placement in layered composite printing for stronger complex shapes.

Cameras, sensors, and a pick-and-scoop robot adapt to mixed box layouts in trailers, cutting manual unloading effort.

A master robot relays safety data from a stationary unit to slave robots, cutting point-to-point links, cost, and communication complexity.

Standardized robotic modules with embedded status and usage tracking enable predictive maintenance, reuse, and reliable third-party integration.

Detachable legged modules with onboard control and communication let one robot reconfigure for convex, concave, and obstructed surfaces.

Automatically moves idle warehouse robots into preset target zones, cutting manual scheduling time and avoiding maintenance interference.

By keeping the radiation locus angle constant to head movement, this case improves curved-line machining width consistency and reduces robot vibration.

Adaptive protocol feedback lets a dual-arm robot correct cell culture actions, reducing variability and improving reproducible cell production.

Actual camera field size and workspace images are used to auto-generate robot calibration positions while avoiding unreachable or obstructed zones.

Depth-only registration with durable 3D targets reduces noise and computation while improving manipulator-to-sensor alignment.

By mapping indoor zones and their purpose, the robot recommends suitable devices and placements to improve space usability and harmony.

A parallelogram multi-arm linkage with gas spring and brake expands ultrasound control panel reach while keeping it level and easy to position.

An electrode built into the mechanical arm housing detects approaching conductors by capacitance change, avoiding contact damage and enabling distance sensing.

Correcting depth data with stored imaging distortion parameters improves robot positioning while reducing calculation load and communication needs.

Cell-based grid mapping and boundary extraction help moving robots find unsearched areas and avoid redundant path planning in sparse environments.

Precompiled instrument scheduling and single-vector TALEN assembly raise foundry throughput while reducing subcloning effort and workflow conflicts.

Constraint-driven mobile robot workcells self-assemble with dynamic routing and resource allocation to speed complex laboratory workflows.

Length-based motion control straightens a flexed workpiece after suction holding, improving conveyance and downstream robot handling.

Haptic sensations are converted into light intensity signals, avoiding bulky drive units while preserving remote operation feedback and operability.

Image-based and force-accommodation control automate ROV arm docking, cutting subsea tool changes to under a minute.

Automated 3D planning searches robot-fixture positions, task sequences, and trajectories to cut setup time for changing product models.

Proximity-based safety input mapping lets one action stop nearby moving machines as layouts change in dynamic industrial work areas.

Human-demonstrated robot learning enables autonomous industrial inspection and maintenance in hazardous or hard-to-reach areas.

By switching hold and release states between upper and lower teaching points, substrate transfer stays continuous without stop-checking placement.

Perception-guided motion planning splits variable pick paths from fixed bin routes to sort mixed objects faster with less manual handling.

Network-aware command reduction limits controlled robot joints under wireless load, cutting radio use while preserving trajectory accuracy.

Multiple cameras on robotic arm links and visibility-aware path planning keep targets in view during close manipulation and avoid occlusion.

Elastic members running along the back provide adjustable lumbar offloading, reducing muscle effort and spinal compression without restricting motion.

Adaptive laser scanning refines only large data gaps in a virtual workpiece model, cutting scan time and computation while preserving toolpath accuracy.

Prestored motion paths and real-time 3D contact updates enable smooth trajectory switching that avoids obstacles without delaying task completion.

Convex contact surfaces and tendon actuation cut friction in a miniaturized surgical joint, improving precise access to small surgical sites.

Switching between holding and assembly error ranges helps a robot keep grip, reduce false errors, and improve assembly accuracy.

A coarse first stage and a high-accuracy head-mounted second stage combine to keep machining precise across a larger positioning range.

A visual boundary-input interface lets users quickly define permitted or prohibited robot arm regions, reducing setup time and complexity.

Skill footprints deconflict shared entities so multiple robots can run skills concurrently with less manual programming and fewer workcell conflicts.

Controlled base oscillation and inertial sensing locate mechanical end stops precisely, preventing damage during alignment and maintenance.

A portable transmitter guides the robot by distance and angle, reducing user-caused signal interference during boundary setup.

Pre-scan cargo mapping and robotic pick-and-scoop handling automate trailer unloading despite irregular box layouts and sizes.

A distributed spherical-pump actuator boosts robot grasping force and impact resistance while cutting hydraulic weight and pipeline complexity.

Acyclic decider networks evaluate changing environmental states in cycles so robots can react faster and interact more safely with humans.

Pre-emptive robot arm deceleration keeps speed below the safety limit before monitoring activates, reducing forced stops and interruptions.

Non-contact sensing of pipette tip position and rotation compensates container deformation for accurate dispensing in dense microplate layouts.

Pressurized textile envelopes use built-in geometric stops to assist body segments while preventing joint overextension and bulky rigid actuators.

Neural-network arc start control adjusts wire feed speed and current timing to cut welding cycle time without harming weld quality.

A ball-and-socket joint with an elastic hold mechanism enables stable high-RPM angle adjustment for accurate hip screw placement.

A transparent elastomeric pad and flexible endoskeleton bring high-resolution tactile sensing to curved robotic fingers for better object characterization.

Image-based step region detection and weight shifting help legged robots place feet safely on stairs while avoiding slips and collisions.

An elastic slit joint cover blocks dust and abrasion powder from robot spherical bearings while enabling quick, tool-free removal for maintenance.

A slotted arm and bell-crank lever convert rotary input into push-pull motion inside a rotating tube, enabling precise end-effector control with smaller incisions.

Manual correction through a manipulator eases robot teaching changes and reduces time-consuming pendant-based reprogramming.

A speaker-equipped robot maps the room, tracks the viewer, and repositions itself to add surround sound for more immersive media and gaming.

Camera-based reference-point moves let a robot arm self-calibrate for precise target positioning without manual setup delays.

Applying an imaginary external force to the master arm reduces heavy-load burden and aligns operator feel with expected motion.

When one robot fails, coordinated rescheduling removes it, inserts a functioning robot, and keeps part processing collision-free.

Visible light projection marks the robot's limited workspace and path, helping prevent human-robot collisions without physical barriers.

Dual processors check robot state spaces and trigger a safe stop on invalid states or link failure, improving functional safety.

User-aware robotic surveillance adjusts speed and acceleration from riding patterns and AR-guided interaction to reduce distraction and safety risk.

A grid and under-grid conveyor sequence containers in random fill order, improving dense storage, grouping, and picking throughput.

A graphical interface turns motion paths and tool actions into robot command nodes, cutting programming time for robotic manufacturing.

Dual directional control interfaces and an encoder isolate intended motion from external forces for more accurate robot path teaching.

Using one guide for control and working carriages cuts material use while opposing carriage motion improves speed, stability, and positioning accuracy.

Friction between a transmitting member and two shafts replaces bevel gears to cut play and ease alignment in compact robotic actuators.

Axis torque trend changes estimate electrode-workpiece contact in real time, improving position compensation and limiting workpiece deformation.

A virtual interference contour guides the manipulator around obstacles to the target pose, simplifying multi-DOF task control.

On-demand beacon response within a restricted field of view cuts battery drain while keeping mobile robot boundary avoidance reliable.

Generates robot paths from one orientation to another while prioritizing speed, acceleration, and stability to avoid overturning and detachment.

Onboard calibration coils normalize magnetic sensing, enabling accurate robot pose estimation in distorted environments without prior maps.

A sleeve, pressure cap, and automated coupler speed adhesive cartridge loading and improve flow control for precise application.

Preselected picking-hand postures cut trajectory calculation time while checking obstacle interference during work pickup and placement.

Time-based robot sequences use anchor points, velocity curves, and hold positions to avoid workcell collisions without sync-point delays.

Multi-point distance sensing lets a robot align tool posture to uneven target surfaces, improving precision in screw tightening and hole formation.

Off-policy deep reinforcement learning uses self-supervised data to help robots grasp and manipulate unseen objects in new environments.

Sensor-based virtual coupling lets operators guide industrial robot arms from a safe distance without complex mechanical links.

Measured pivot, actuator length, and stroke errors are converted into compensation values to improve hexapod positioning accuracy.

A lead robot queries nearby robots for capabilities and status, then assigns tasks to cut redundant programming and improve response times.

Machine learning links reducer speed, torque, and grease iron powder concentration to predict maintenance timing and avoid unexpected downtime.

Proactive thermal, sensor fault, and standby alerts help a legged mobility exoskeleton prevent unsafe joint actuation and user accidents.

Pre-derived object and pallet data enable robot control sequences for mixed-SKU loading and unloading with less operator intervention.

Robots, conveyors, and orientation feedback automate sandwich slicing, filling, and packaging while improving uniformity and reducing labor.

A flat seal with temporary fixing holes and elastic ribs prevents oil leakage between a reducer shaft and robot arm while simplifying machining.

Cross-station and hand-eye calibration align robot and camera coordinates to improve movement accuracy when transferring work objects between workstations.

Automatic communication setting changes during end effector replacement cut manual setup time and help keep industrial networks running.

Force- and impedance-controlled tilting helps a robot align and plug expansion boards with lower insertion force, less stress, and tighter tolerances.

Rotating transmitter and receiver beams form a 3D safety curtain that surrounds equipment with lower light-curtain complexity and cost.

Friction between a transmitting member and intersecting shafts replaces bevel gears to cut play and simplify alignment in compact actuators.

When humans are nearby, the controller picks objects farther from them first, maintaining robot handling efficiency while reducing collision risk.

A control device blocks manual correction inputs during high-speed automatic slave arm motion to prevent sharp, unexpected movements.

Image-based target selection and conveyor parameter tuning let robots work on moving parts without stopping transport, reducing time loss.

Orthogonal plate springs replace wires and linkages to improve surgical manipulator precision, sterilization, size, and maintenance.

A vision sensor and determination point simplify robot posture checks, reducing threshold-setting effort while improving positioning accuracy.

Dual processors verify robot states and trigger a safe stop when state limits are exceeded or the safety data link is interrupted.

Hand-position tracking links operators to sheet metal parts on the sorting table, cutting visual comparison errors and sorting time.

Binary privacy labels mask sensitive 3D mesh regions so cloud grasp planning can use shared geometry without exposing proprietary part data.

Registered 3D sensors map occupied and unknown workspace regions in real time to manage occlusions and keep industrial machinery safe.

Optimization-based link mapping converts model motion to arbitrary robot joint angles without manual formulas or motion stops.

When 2D routing fails in tight spaces, selective 3D shape checks find collision-free robot paths while limiting compute and battery use.