Programme-Controlled Manipulator TRIZ Cases

Weight-based checking lets a robot detect double picks during singulation, avoiding AI training overhead while improving handling of mixed objects.

An edge interface captures IMM and robot control signals to detect instability, trace defects, and enable real-time molding adjustments.

Modern computer vision and reinforcement learning replace costly picking hardware, enabling autonomous fruit harvest with grading and storage.

Tactile sensor feedback reshapes manipulator impedance during contact to cut collision energy transfer without sacrificing tracking accuracy.

Trajectory data separates crusher grasping and sorting motions, cutting manual video analysis time while preserving detailed operator assessment.

Physical replica workpieces and tools let operators detect machining collisions safely during setup without risking damage to original components.

Internal air and vacuum passages compact the suction gripper, cut protrusions, and simplify cleaning and maintenance in handling lines.

Separating 3-axis linear positioning from 3-axis rotary posture control enables compact, high-speed, accurate dual-end-effector work.

Labeled MDPs map each robot skill to control conditions, enabling mixed robot teams to execute shared missions under one framework.

Camera-guided welding and grinding repair platen surface defects inside a hot press, cutting multi-day shutdowns and confined-space manual work.

Three robots with different axis layouts work on moving workpieces from multiple sides, raising throughput without workspace interference.

Image-based product analysis determines routing, trajectory, and end effector choice to reduce warehouse misplacement and handling damage.

Shared monitoring lets nearby robots cover sensor blind spots, improving factory robot safety without adding more onboard sensors.

A single camera and mirror capture both workpieces at once, enabling feedback control for more precise relative alignment during assembly.

Simulation and real-world feedback are combined to tune industrial application parameters faster while reducing hardware risk and reality-gap errors.

Machine learning and coating simulation generate collision-free robot coating programs that meet target thickness ranges with less programming effort.

Switching between filtered and original torque signals suppresses robot resonance while preserving accurate position and force control.

Projects robot status and action cues directly into the monitored workspace, avoiding noisy audio alerts and attention-shifting warning lamps.

Predicted scan data lets a robot assess collision risk and generate driving commands with less computation than full object tracking.

A fixed camera-projector pair lets a cobot project warnings and gesture-based guidance into the shared work area, avoiding noisy audio cues.

An autonomous mobility cart retrieves store orders and delivers them to a shopper's vehicle with live status updates and delivery confirmation.

Independent robotic legs and arms let this service vehicle walk, drive, stabilize on uneven ground, and handle objects in real time.

A camera-guided robot tracks wood on a cross conveyor to identify and remove defective pieces at high speed while maintaining sorting quality.

Independent comparison and mutual monitoring sections detect encoder or safety-control failure and cut robot arm drive power before unsafe motion.

A planetary speed reducer layout cuts heat and inertia, enabling faster conveyance arm acceleration in limited space.

A ground robot carrying and wirelessly charging a micro drone expands patrol reach into inaccessible terrain while extending surveillance time.

Radar sensors mounted on a robotic arm create a conformal safety envelope that detects people and obstacles without physical barriers.

Machine learning links robot configuration and process parameters to detect anomalies, cut false alarms, and reduce storage needs.

Automatically generates a surface-aligned projection view so operators can mark robot work regions quickly and convert them back into 3D space.

Force/torque feedback and mirror descent guided policy search help robots learn precise contact-rich assembly without lengthy trial-and-error.

Manual robot guidance is converted into a smoothed motion program by recording TCP points and removing extraneous movements.

Geometric algebra and CSG speed robot grasp point estimation by simplifying oriented distance calculations across varied object shapes.

Sensor data and biomechanical modeling predict instability, then selectively stiffen actuators to block fall-prone motion.

Joint torque is used to calculate ground reaction forces and estimate robot center of gravity without fragile force sensors.

Logical task expressions are converted into atomic potential functions, letting non-experts build robot control objectives for complex tasks.

Nonlinear optimization generates feasible mobile manipulator trajectories that satisfy joint limits, avoid collisions, and improve warehouse task agility.

Sequential actuator-driven end deformation releases a cut composite tube from a tapered mandrel without disassembly, damage, or splice joints.

Combined 3D point cloud data and machine learning let a robotic handler choose picking or sweeping modes for faster vehicle loading and unloading.

Selective suction zones and vision-based overlap checks let robots pick mixed boxes in walled containers without wall collisions or box slipping.

Precomputed identification trajectories let robotic manipulators estimate changing payloads quickly and improve control precision in real time.

A repositionable robotic welding arm uses yaw, pitch, and roll control with force limits to weld long pipe spools precisely and safely.

Console-free robot arm control tracks a second instrument or direct arm contact to improve laparoscopic precision while saving operating-room space.

Deformation ratios from multiple suction cup regions are checked without holding a workpiece, enabling easy wear detection and timely maintenance.

Adaptive HSV image recognition extracts product location and shape under lighting noise, enabling robot self-teaching for grasp and transfer.

Recent in-view calibration images let robot control refresh camera parameters and flag deviations before outdated calibration causes motion errors.

Adaptive RGBW LEDs built into gripper fingers reduce occlusions, shadows, and blur while improving visual detection of fragile sub-centimeter objects.

Automated teaching and tool management cut operator programming effort in collaborative work cells while improving execution speed and safety.

Robots share trajectory data over a network to detect collision risk and automatically correct motion without robot-specific region programs.

Optical imaging checks drill-bit color and wear marks in wall drilling, enabling early replacement before overheating or failure.

A controller detects whether a partner machine is real or virtual, then adapts processing to support mixed real-virtual system simulation.

Dynamic capability checks and help-list matching let one robot recruit another when task demands exceed its current abilities.

Detector feedback lets the controller adjust pallet transfer RPM and acceleration by load, improving throughput while reducing drive wear.

Multimodal gripper sensors feed a cloud network that diagnoses non-optimal robot operations and shares updated AI models to prevent repeat failures.

A spring-biased adjuster limits link stress across pivot angles, enabling smaller medical manipulator insertion parts without excessive axial force.

By linking customer images to reception numbers, this service robot reduces ticketing errors and improves waiting-status notification.

Joint force and torque checks before manual mode switching help prevent unexpected robot reactions and improve hand-guided positioning.

A robot-mounted light source verifies camera latency and reactivity in real time, enabling safer navigation with lower-cost uncertified sensors.

A modular robotic arm uses imaging and force feedback to operate cockpit instruments across aircraft while reducing pilot workload and upgrade burden.

Proximity-based association links a mobile safety input to nearby machines, enabling fast safe-state control in dynamic industrial work areas.

Automated inspection and laser cutting form defect-free filtration tubes while reducing waste, operator handling, and replacement costs.

Servomotor torque monitoring checks dual-chuck gripping states, detecting incomplete clamping and preventing workpiece drops during transport.

Multiple protective devices create temporary unmonitored windows in transfer regions, reducing machine stoppages without losing safety coverage.

Grid-cell elevation maps and self-training let a mobile robot classify traversable terrain and avoid steps, stairs, and other 3D hazards.

Stored feasibility and weight data are reused across overlapping route segments to cut path planning time and evaluate more options.

By checking worker presence at each task location, the robot skips idle waiting and improves human-robot task flow in warehouses.

A robot coordinates its manipulator and leg to open doors, block swing-back, and keep the doorway clear during traversal.

A rigid preloaded compensation unit keeps gripper position defined, yet yields on collision to improve handling reliability for unordered workpieces.

3D scanner point clouds matched to a virtual model let articulated robots self-localize and plan precise trajectories in confined spaces.

Image-based table monitoring detects low consumable levels and dispatches a waiter robot for timely delivery or collection.

Captured reference-point images automatically correct robot path positions, simplifying start-up while preserving execution accuracy.

Dynamic safety limits let a robot arm adapt during runtime while the safety controller enforces the more restrictive limit to cut cycle time.

Dynamic boundary-guided motion lets a robotic arm slide along collision limits with velocity adjustment and haptic feedback for safer, smoother procedures.

Motor current estimates wrist-joint torque while sensors stay on basic joints, improving 3D contact detection at lower robot cost.

Real-time display and signal guidance helps operators place laser-cut or punched parts in the correct collecting unit faster and with fewer errors.

Fixed transceivers and mobile units localize people and workpieces in steel processing to prevent part mix-ups and improve process control.

Multimaterial 3D printing replaces rigid joints and links with soft elements, simplifying miniature robot fabrication while preserving accurate foot trajectories.

Image-based neural networks locate flexible bags in overlapping stacks so manipulators can remove them accurately without predefined geometry.

Region sensors rank risk zones, then a movable monitor targets device-level temperature and humidity checks where electronic equipment needs them most.

Image-based detection of overlapping parts lets the robot prioritize kit assembly, avoid stoppages, and improve production flow.

Offloading LiDAR and camera SLAM to a cloud server improves real-time robot localization and map quality without heavy onboard computing.

Stored sensor trail data guides boundary-proximity navigation, improving domestic robot coverage accuracy while simplifying setup and error correction.

Image-guided vacuum regions let one gripper selectively pick irregular or adjacent objects without damage while improving robotic handling flexibility.

Two independent capacitive channels per sensing location cut electrode bulk and mutual interference while improving distant object detection.

Mapped correction values at multiple work points compensate for arm distortion and improve robot positioning precision across the workspace.

Proximity sensing and local alerts help prevent remote-control conflicts by warning nearby operators and allowing session suspension.

AI-guided robots and storage retrieval dynamically resequence parts kits when inventory is missing, keeping vehicle assembly running.

Separate attracting portions divert excess conductive wear powder from the electrodes, improving oil sensor reliability in large machines.

Coupled mobile platforms carry the layup machine and tool together, enabling continuous composite deposition with controlled positioning along the line.

Coordinated chassis and rotation-motor control keeps the shelf stationary during turns, reducing sway and cargo drop risk.

Calibration uses tool-made light spots or traces on the workpiece to correct imaging distortion without external jigs or extra setup.

Dynamic obstacle radii based on motion properties and obstacle relationships improve robot route accuracy and efficiency in complex spaces.

Robots exchange pose particles at rendezvous to improve localization accuracy while cutting bandwidth, storage, and particle-matching cost.

Batch-programmed reference arrays organize set points and motion profiles across networked components to reduce command overhead and coordination complexity.

Classifying obstacles by semantic type lets robots apply different buffer zones and speed limits for safer, socially aware path planning.

Camera-guided remote picking combines autonomous movement, item grabbing, and visual feedback to cut delivery labor and improve online shopping.

A tilting body with simple arm and head motion enables recognizable non-verbal robot expressions without complex humanoid joints.

Shared movement data lets robot controllers choose safe pick-and-place paths in overlapping work areas, reducing footprint without collisions.

Mixed reality teaching captures object position and orientation so robots can learn reusable task skills without expert code-based programming.

Adaptive 3D sensing updates measurement parameters as bulk workpiece count changes, improving detection and grasping success.

Pressure distribution sensing guides end-effector rotation during lifting to prevent workpiece slip and reduce damage from excess grip force.

Moment-of-inertia calculations repeatedly adjust virtual movable-part speed to reproduce actual robot behavior more accurately.

A simplified pendulum model plans each biped gait cycle and corrects the robot's COM trajectory in real time as tasks change.

Maintaining a fixed connection-to-pivot distance simplifies finger assistance, reducing device weight and user burden during repetitive motion.

A robotic assembly moves a marker-based target through multiple poses to improve extrinsic calibration and distortion accuracy without large charts.

This case shows how locally varied fabric elasticity and pre-tension steer everting soft robots through constrained paths during growth.

A specialized holder and rotating support align vial and syringe axes for clean, accurate medication transfer with less setup.

Imitation control stack models reduce computing demands for robot policy training.

A blending parameter combines stored motions into new mobile-body movement, reducing the time and cost of motion creation.

The robot controls nearby devices to create local noise conditions, then learns speech recognition from user speech.

Multi-modal perception and force control connect truck unloading with conveyor handling and destination placement for end-to-end automation.

Variable-pitch gripping components help robots handle diverse objects with one adjustable assembly.

Dividing storage racks into independent zones prevents multi-robot conflicts on shared rails, ensuring high logistics efficiency.

Rotatable head design with position sensors prevents lidar interference and collision damage in autonomous guidance robots.

Multichannel scaler filter samples electromagnetic signal amplitude and phase to determine autonomous robot position relative to boundary wires.

Physical graphs formulate concurrent movement plans for entities, adapting to compliance failures without increasing device complexity.

Growing copper nanowires on shape-memory alloy surfaces accelerates cooling rates, eliminating bulky external cooling devices.

A robot controller acquires workpiece state information and transmits position candidates to an operation terminal for user selection.

A catheter robot control apparatus detects instrument installation direction and determines a target mapping relationship to drive the manipulator assembly.

A dual-stage aligning system positions door hinges using vibration and gravity before automated fastening.

Mobile robotic system transfers plants between high and low density modules to optimize facility space utilization.

Nesting a ring body inside an annular groove resolves the space occupation trade-off while limiting joint rotation angles.

Thermal spray coating on aluminum casings resolves weight and sterilization resistance trade-offs in pharmaceutical robotic systems.

Ultrasonic feedback controls a robotic spray arm on a suspended gondola, resolving the trade-off between manual precision and automated coverage uniformity.

Algorithm generates collision-free trajectories using polynomial segments to optimize non-productive tool movements, reducing computing power requirements.

A robotic mobile manipulation system generates motion trajectories for the robot base and manipulator using visual information.