Programme-Controlled Manipulator TRIZ Cases

A vacuum-side rotation restraining unit keeps sealing intact while cutting rotary feedthrough height and radial footprint in manufacturing robots.

A detachable coupling lets transport and robot units work independently in additive manufacturing, cutting idle time across workstations.

Robotic inspection with machine learning checks gas turbine component position and damage on-wing, reducing disassembly time and downtime.

A cable-wound drum transmission changes robot joint axis orientation while cutting weight, backlash, and installation space.

Two-stage stereo imaging keeps the target mark in view, then widens parallax for more accurate robot-to-workspace deviation correction.

Fusing color and depth images, the robot detects tire gap and underbody height to enter vehicles safely in narrow parking spaces.

Semantic scene recognition selects only relevant sensor data for robot pose estimation, improving positioning accuracy in complex environments.

A potted inner-tube and outer-sleeve assembly boosts pull force while sealing fluid and limiting abrasion under high pressure.

Task prompts are split into sub-steps, checked for competency, and validated with retrieved knowledge to reduce over-confident execution.

Delaying position commands to align with velocity feedforward cuts phase mismatch, noise, and overshoot in robot servo tracking.

A simulated welding view captures skilled torch motions without robot arm occlusion, improving motion teaching accuracy and weld quality.

Precomputed photography points and movement paths cut camera repositioning time while maintaining full surface inspection coverage.

Sequentially updated time regions keep at least one timestamp readable, enabling accurate camera-to-display delay measurement.

Monitoring unlock signals before motion blocks commands when a joint brake stays engaged, preventing robotic arm motor wear and burnout.

A clutch-switched dual-drive vehicle works with modular transfer units to raise inventory throughput without full infrastructure replacement.

Dual position sensors calibrate the kinematic model so a construction robot reaches end-effector targets quickly and within 5 mm.

UWB-guided ground robots surround a UAM vehicle to detect obstacles, prevent collisions, and guide passengers safely between gate and pad.

Sub-step competency checks and targeted information retrieval help an autonomous tool controller reduce hallucinations and improve task execution.

Distance sensors on a jig wafer automate robotic arm alignment and lift-height correction in a vacuum chamber, cutting downtime and retooling.

LED flashes in the camera FoV verify latency, throughput, and reactivity, enabling low-cost depth cameras in safety-critical robot navigation.

Machine learning predicts user motion and updates a robotic arm’s 3D navigation path in real time to avoid collisions during surgery.

By projecting 2D-detected markers onto a 3D-detected plane, this case improves coordinate setting accuracy for robot teaching.

A shuttle takes over item transport after robot pickup, cutting arm travel time and improving sorting throughput with fewer dropped items.

Switchable robot arm control lets a second surgical instrument or direct arm input replace a console, improving OR flexibility and staff clearance.

A two-stage asymmetric critic-guided student model cuts retraining and data collection for accurate multi-task robot control.

Rotating locking members engage a humeral undercut to secure a stemless shoulder implant while preserving bone and improving placement stability.

A universal motherboard and shared power-data bus let interchangeable robot modules plug in without dedicated signal lines, cutting complexity and cost.

Remote teleoperation lets robotic assistants handle complex tasks while geofencing, image blurring, and managed operator assignment protect privacy.

AI cameras localize and control mobile robot fleets without onboard sensors, cutting robot cost, energy use, and failure points.

Few-shot robotic bin picking learns from failed grasps and uses item perturbation to create new pick points with less human intervention.

Camera-based keypoint labeling and orientation estimation help a robotic arm pick obscured objects with precise, delicate motion.

An onboard LED tests a robot depth camera in real time to verify latency, throughput, and sensing reliability for autonomous navigation.

RGB-D point cloud grasp planning uses depth differences and quality scoring to pick unseen objects reliably in dense clutter.

An ANN feedforward controller improves milking robot arm trajectory tracking under non-linear hydraulic actuator behavior.

Beacon radio direction is checked against distance sensor data to separate LOS from NLOS signals and improve mobile robot positioning.

Sensor-based registration establishes relative position and orientation between movable manipulators for precise tool control and collision avoidance.

Automated reference-arm positioning aligns following surgical robot arms for faster pre-op setup, higher accuracy, and lower sleeve contamination risk.

A movable 3D imaging unit tracks conveyor speed to cut motion blur and capture accurate workpiece data for precise picking and sorting.

Automated dual-camera calibration aligns a surgical robot, robot camera, and external camera faster and with less manual error.

Real-time image and sensor analysis identifies anatomy and adjusts robotic arm motion to improve targeting while minimizing tissue damage.

Opposing actuators keep both transmission paths under minimum tension, improving instrument DOF control in tight minimally invasive workspaces.

Training and test sensor data are used to estimate friction and CoM, compare predicted actuation with residuals, and judge robot calibration quality.

Point-grid sphere generation with overshoot and pruning cuts robot mesh collision-check computing time while preserving useful accuracy.

Eddy current probes check fastener conductivity during automated handling to confirm material and avoid wrong-part installation without damage.

A geometry constraint-based calibration process jointly fits robot tool and work object parameters to reduce error propagation and improve path accuracy.

Impulse actuators and a learned closed-loop controller reorient varied parts on a surface without hard reconfiguration or manual handling.

Dynamic gain reduction during synchronous mode aligns objects with different responsiveness and cuts timing shift without complex control.

A rotatable binding mechanism aligns with oblique rebar intersections, enabling precise automated tying across multiple crossing angles.

Common-mode voltage on differential lines carries emergency stop signals between robotic nodes without extra wiring, improving speed and reliability.

Physique-based taught-point correction lets one robot adapt workpiece position and orientation to different workers without reteaching.

Independent interrupt-driven encoder requests keep robot arm position and speed control accurate during high-load image processing.

Image-guided trajectory planning helps a robot arm detect, approach, and grasp irregularly arranged objects with higher picking accuracy.

Corrected position data removes load-driven vibration and time delay, enabling accurate robot encoder fault detection without extra sensors.

Comparison axes from camera and scanner data correct module misalignment, thermal roll error, and travel distance drift in robot control.

Graph-based simulation models robots, tasks, and interactions to predict delays, reduce congestion, and improve fleet sequencing.

Simulated path generation uses surrounding environmental data to avoid obstacles automatically and reduce robot teaching workload.

A 3D-modeled visible robot part and known kinematics locate hidden stationary sections for accurate marker-based calibration.

Sensor-driven grasp prediction and re-grasp planning let robots adapt part pose and assembly motions without extensive reprogramming.

Interchangeable heat exchanger modules adapt flow paths to different article shapes, cutting space and cost while supporting automated reconfiguration.

When the attached end effector cannot be identified, the robot estimates peak part speed and slows arm motion to keep operation safe.

Spherical-bearing linkage lets a non-planar linear actuator absorb and redirect external forces, reducing torque stress and maintenance.

Mirror-symmetrical manipulators on a common guide transfer metal sheets directly, avoiding collisions and extra clipping steps.

A gantry-tram robot uses passive grippers and coordinated motion control to lift and place rebar precisely while reducing worker strain.

Automated path planning uses temporary fastener locations and clamp-up force rules to cut robotic hole machining time, travel, and tool changes.

Priority-based parcel picking uses position detection to avoid unstable adjacent items and improve extraction accuracy from crowded containers.

Relative object relations let robots adapt control commands to changing parts and environments while reducing reteaching cost.

A learned robot arm controller uses posture and container weight data to pour fluid accurately without cameras, reducing setup complexity and delay.

A ToF camera and deep learning estimate object shape, material, and mass to set stable grasp force without costly finger sensors.

Underconstrained process graphs and work volumes cut robot programming time while generating reusable collision-free schedules across workcells.

Distributed radar sensors track obstacle distance in large robot work cells, enabling adaptive speed reduction and safer human-robot collaboration.

Filtered acceleration signals from the robot hand give operators clearer sound or vibration feedback for accurate remote work in noisy factories.

Uses 3D model-based program selection and automatic object positioning to speed optical inspection setup for changing product portfolios.

Fault classification isolates only the failed robotic arm, preserving safe degraded operation and avoiding unnecessary full shutdowns.

Modular smart posts use semantic routing and autonomous reconfiguration to adapt crowd control layouts and process real-time environmental data.

Beacon direction data is matched with sensor-measured object distance to separate LOS from NLOS signals and improve robot positioning.

CNN-based route learning uses pedestrian movement patterns and color-coded environment images to reduce halts and smooth robot navigation.

Real-time laser tracking corrects cable robot end-effector errors across large work volumes, maintaining micron-level positioning accuracy.

A high-conductivity shaft path draws frictional heat from oscillating gears, suppressing temperature rise and extending robot gear life.

Cached swept volume profiles speed robot path replanning and collision checks when dynamic obstacles or other robots block roadmap edges.

Wireless control blocks let users reconfigure robot functions through firmware and smart devices without making the robot structure overly complex.

Parallel wide-area selection and robot task control cut cycle time while keeping accurate workpiece detection, even for moving or overlapping parts.

Back-to-back distance sensors along each manipulator link detect obstacles in local rotating spaces while reducing blind spots and processing load.

A parallel-link wrist joint replaces multi-gear engagement to cut backlash and friction while expanding pitching and yawing motion range.

Capture point timing replaces fixed gait clocks, letting a robot place its foot from center-of-mass dynamics to maintain balance under disturbances.

A lever-and-spring cable tension assembly lets robot arm actuators vary stiffness, improving collision safety without sacrificing torsion.

Combining joint torque sensing with distal force thresholds helps robots avoid false stops during pressing while keeping contact stop control reliable.

Dynamic task sequencing lets a warehouse robot return goods while picking new items, cutting travel time, energy use, and slot waste.

Remote operator verification guides a robot through learning motion capture to improve recognition of overlapping, translucent, or new objects.

Granular contact sensing lets a robotic gripper detect weak hold on soft or irregular objects and trigger regrip or motion changes to prevent piece loss.

Actuator load is used to resize the robot safety zone in real time, improving human-robot workspace safety without overly restricting motion.

A dynamics model separates user input from bearing forces so manual robot teaching can store desired force and torque independent of pose.

Axis-invariant symbolic modeling simplifies inverse kinematics for multi-axis robots, improving calculation accuracy, stability, and real-time control.

A CCD camera, laser sensor, and vacuum end effector sort and place mixed rivets accurately without vibrating plates or manual handling.

A quick-release coupling lets gripping fingers be repositioned or swapped without tools, improving flexibility for handling varied object shapes.

Sensor-based depth measurement lets warehousing robots adapt picking and placement to actual container depth, reducing damage and falls.

Person detection in robot safety zones enables fenceless plant layouts while shifting robots to safe states at controlled interruption points.

Appearance inspection maps weld bead defects to virtual welding-line interpolation points, enabling stable and accurate automated repair welding.

Deep learning camera monitoring detects people in hazardous machine zones and powers off equipment to prevent accidents during maintenance.

By analyzing object attributes, relationships, and environment context, the controller predicts movement and adjusts travel to avoid collisions.

By comparing route costs to alternative dumping points, sorting robots avoid drop-off congestion and keep warehouse package flow moving.

A robotic arm and live mobile interface let remote users scratch physical lottery tickets while preserving jurisdictional compliance.

Worst-case axis error propagation and kinematic geometry set safer zone and speed limits without overly conservative margins.

A hybrid robot neck uses one rotary motor and two linear actuators to deliver pitch, roll, and yaw from vision-based 3D pose tracking.

Sequence-based monitoring detects discrete manufacturing anomalies early and adapts robot assistance to worker state for better quality and less downtime.

Prestage position offsets create straight, collision-avoiding palletizing paths, reducing manual teaching workload and improving adjustment efficiency.

RGB-D scene capture and AR simulation simplify robot teaching, improve path accuracy, and avoid physical collisions without complex tracking.

Sparse temporal and spatial sensor processing cuts tactile data load while preserving responsive whole-body human-robot interaction.

Desired time responses are converted into MPC weighting coefficients, cutting trial-and-error while improving servo tracking and vibration suppression.

Absolute optical position markers on the conveyor carrier let the assembly unit track and position itself precisely without complex software or mechanical latching.

An integrated energy store sustains robot power long enough to brake actuators safely after voltage loss and enable fast restart after recovery.

A robot camera uses visible keypoints and hidden-joint indicators to estimate human engagement accurately without full 3D pose reconstruction.

By estimating wrist-axis intersection points from circle geometry and inner products, this case cuts inverse-kinematics load for real-time robot control.

An integrated servo valve and vane oscillating cylinder raise robot joint torque density and response for accurate position and torque control.

Dynamic plunge-depth adjustment keeps immersion depth constant during dental polishing, reducing edge wear while maintaining surface quality.

Force and position feedback keep an orthopedic tool on its planned path, improving surgical precision and reducing deviation.

Vector Field SLAM uses WiFi or beacon signals to re-localize a paused or moved robot with low memory and setup demands.

By combining joint-angle and body-orientation data, the robot anticipates limb-driven balance shifts and reduces destabilizing control effort.

A fleet of autonomous legged robots sorts laser-cut parts in parallel, easing unloading bottlenecks and reducing machine idle time.

Offline trajectory creation and editing generate robot machining paths for arbitrary 3D shapes while cutting manual teaching effort.

Sensor-based resistance control detects backward walking and keeps prosthetic knee flexion resistance high to prevent unwanted bending.

Separating linear positioning from rotary posture control enables fast, precise article transfer with lower contact risk and simpler robot operation.

Estimates noise at sensitive target regions and adjusts mobile unit motion and actuator output to suppress unwanted sound without slowing all operations.

Camera-based scene selection turns a clicked pixel into a terrain-aware waypoint, helping mobile robots avoid obstacles and adapt to terrain.

Maps human contact states to robot trajectories using force optimization and retargeting to improve realistic teleoperated interaction.

An LQE corrects noisy robotic surgery UI tracking, up-samples sensor input, and cuts latency for more precise tool motion.

Camera and voice sensing let a serving robot estimate diner reactions in real time and update kitchen feedback for more personalized service.

Predefined docking interface IDs speed module position recognition while improving accuracy in reconfigurable modular robots.

Learned manipulation skills are abstracted into symbolic models so robots can plan complex tasks and adapt execution to changing environments.

Multi-joint arms on a moving base use sensors to choose 360° pick paths, improving harvest speed while avoiding plant damage.

Preplanned robot trajectories are linked to master axis position signals to keep robot arm motion synchronized during dynamic speed changes.

Dimensional data is used to predict shim thickness before gear assembly, avoiding trial-and-error tooth contact adjustment and rework.

Position sensing wakes the airport robot automatically, warns nearby people, and improves user tracking to avoid collisions in crowded guidance.

A mobile base, robotic arm, and interchangeable cleaning tools automate building cleaning while reducing manual labor and improving task flexibility.

Autonomous inlet robots and a central server coordinate waste pickup, measurement, and routing to cut labor needs and urban collection inefficiency.

Multiple carrying devices let one robot deliver different items on a shared route, raising throughput while limiting extra energy use.

Simultaneous detection of reference and robot markers lets an AR device align robot coordinates precisely while reducing setup burden and display drift.

Imaging-guided pick and place sequencing identifies accessible rack receptacles to avoid container collisions, jams, and fluid spillage.

Workpiece result data is converted into examination robot paths, cutting manual teaching time while maintaining accurate coverage of worked regions.

Spiral cable routing and pressure-controlled chambers give a soft actuator precise multi-axis motion, adjustable stiffness, and reduced ballooning fatigue.

Preference-guided reinforcement learning tunes autonomous driving parameters in simulation, reducing retraining and limiting user data needs.

Dynamic 3D occupancy envelopes predict robot and human positions, replacing static guarding to maintain safe separation without sacrificing workspace flexibility.

When control data changes or missed packets accumulate, a robot link switches to a more robust wireless mode to avoid cell stoppages.

Pairwise edge and corner checks refine initial object estimates, improving pallet pose accuracy for safer robotic de-palletization.

Automated currency recognition and rate calculation let travelers re-exchange leftover cash on site without bank visits or long waits.

A segmented hinged tool uses a strength member to switch from flexible navigation to rigid support inside gas turbine annular openings.

RFID-guided tray placement and a sterile barrier help operating room teams cut instrument misplacement, retrieval delays, and infection risk.

Coordinates zones, paths, transitions, and timing so multiple robots can complete integrated receiving, stocking, and shipping tasks with less human input.

Reduced-dimensional embeddings and nearest-neighbor semantic labels narrow grasp search space, cutting robot grasp planning time and compute.

Dynamic path control uses workpiece center of gravity and impact-point prediction to keep dropped sheet metal within the bending danger zone.

A trained neural network predicts grasp success from images and motion data, enabling fast feedback for robust robotic grasping under perturbations.

Disturbance torques are grouped by robot operation and corrected against tailored thresholds to reduce false positives in failure diagnosis.

A bendable suction surface and movable opposing holder let robots pick objects in tight spaces and keep them stable under external force.

Sensor fusion and machine learning let an autonomous robot detect slippery, wet, or uneven surfaces and issue timely hazard alerts.

Polarization and motion modulation help classify humans near a movable machine, enabling speed reduction or stopping only when needed.

A movable camera platform scores images by aesthetics and saliency to preselect high-quality shots while reducing manual review time.

A rotary actuator plus push-button enables safer, faster motion-drive control by separating speed setting from proportional positioning.

Sector and bevel gears with integrated torque and position sensing make a robot wrist compact, stiff, and accurate under high torque.

Switching between controlled slippage and lock modes helps MR fluid clutches transmit torque while reducing energy dissipation and fluid property change.

Machine learning assigns irregular conveyor objects across robots by priority to reduce downtime, energy use, and unnecessary motion.

Camera-based 3D pose mapping lets operators control multi-DOF robots intuitively without joysticks, exoskeletons, or marker-based capture.

Integral elastomeric links close the mechanical chain within robotic skin, improving realistic movement, durability, and small-form integration.

By moving actuators off the load path, this linear delta layout cuts inertia and drag while expanding workspace for mobile and underwater use.

Magnetic strip markers with polarity patterns help robots keep position and direction even when optical codes are worn or blocked.

Predicting target and obstacle motion lets the robot widen camera view during occlusion, maintaining continuous target tracking.

Neural networks and sensor feedback let medical robots diagnose and treat with less human intervention while continuously improving procedure reliability.

A fixed measuring device and shared reference element let multiple robots be calibrated online at once, cutting overall calibration time.

Personalized exercise prompts combine user history with wearable state to guide mobility training and adjust assistive force.

Joint torque control shifts the robot’s center of mass through takeoff, flight, and landing to clear holes, ditches, and ravines.

A robotic forming mechanism deposits high-viscosity concrete via a dual-drive rod pump, resolving structural strength versus pumpability trade-offs.

Controller deploys adjustable kickstand based on joint angle sensor data to counteract induced torque and prevent mobile base tipping.