Programme-Controlled Manipulator TRIZ Cases

Spline-based geometry envelopes improve multi-axis machine collision detection accuracy while cutting false alarms, storage load, and computation.

Proximity and thermal sensing let a robot distinguish humans from objects, lowering impedance nearby to improve safety without halting efficiency.

Automated salt dispensing, navigation, and obstacle detection de-ice icy pathways without manual salting or vehicle maneuvering.

Networked sensors, local control, and remote management automate zone-based lawn care to cut manual work and improve growing conditions.

Semantic annotations are transferred across robot missions, then validated and resolved to keep navigation maps accurate as environments change.

An optimization controller maps low-DoF teleoperation inputs to joint velocities, enabling precise manipulator control with simpler hardware.

Articulating jaws retain and align lockbolt collars for robotic swaging in restricted areas, cutting manual assembly time and effort.

Dynamic priority assignment lets a conveyor serve urgent robot tasks without fixed human-first rules, reducing waits and improving allocation.

Virtual models of work robots and structures let engineers verify task reach and compatibility before assembly, reducing setup errors.

A selectively engaged thumb wheel enables manual end effector actuation for cleaning and sterilization without disrupting robotic drive operation.

Electromagnetic clutches and wireless biometric control let modular exoskeleton joints switch between active assist and free movement with lower energy use.

Multiple external sensors compare actual and programmed machine position to correct drift in real time and avoid recalibration downtime.

A reference array enables batch set-point programming and coordinated motion control across industrial components, cutting deployment complexity and time.

A mirror and image sensor capture both workpieces at once, enabling feedback control for accurate relative alignment during assembly.

When a transport robot fails, the control system assigns another robot to the object handover point to keep facility transport moving.

A boundary and reference wire guide the robot back to charging with less battery use, less ground damage, and no extra sensors.

Machine learning combines operator force, motion data, and environment sensing to cut robot programming time while improving adaptability.

Temperature gradient profiles and PDU power data flag hot racks, then a mobile robot captures thermal images for faster anomaly detection.

Object characteristics guide whether grip points come from shape calculation or an AI model, balancing transfer accuracy and processing time.

Tactile, visual, and acoustic signals are time-aligned and converted to keep remote force and position feedback synchronized despite network latency.

Force-torque sensing and frequency-based load analysis let robots distinguish conscious human contact from unexpected collisions.

Mirrors and multi-sensor tracking keep technicians detectable around moving machinery despite obscured views, improving safety and uptime.

By combining joint-angle sensing with body orientation data, this case estimates aggregate robot motion for steadier balance with less control effort.

Robotic in-situ inspection and repair cuts gas turbine engine disassembly time while maintaining thorough workscope-based servicing.

Positioning robots stabilize vehicle parts in the transport holder so sealing profiles can be applied inline without removal, saving space and time.

Virtual agents train robot maintenance models on simulated failures, cutting data collection time and cost without disrupting operations.

Sensors track target positions while force feedback guides contact, enabling accurate part attachment on moving conveyed objects without line stops.

Dual control loops use balance-based mass and flow feedback to let a robot arm pour a defined medium mass accurately with less spillage.

A detachable powered tool unit keeps working on the vehicle body after robot release, cutting wait time and avoiding robot tracks.

A state machine switches coordinate transforms by exit conditions, improving real-time robotic accuracy, convergence, and reliability.

Real-time user motion and state data let a guide robot adjust speed and route to reduce stress without overly restricting movement.

Pressure-sequence feedback verifies vacuum pick quality and helps AI choose better grasp points for more reliable recycling sorting.

Sensors detect user motion and hazards ahead, then light both the walking path and danger area to help avoid collisions while accompanying the user.

Camera-based target imaging estimates robot tool deformation by posture, improving tool tip positioning without 3D measuring equipment.

A camera tracks the welding target and one robot-mounted marker to generate accurate welding paths with less manual teaching and fewer reference markers.

Accuracy feedback on autonomous movement helps operators judge robot state and switch reliably between manual and autonomous modes.

Center-of-mass control across both single and double support phases improves two-legged robot walking stability.

Dynamic zone scheduling and controlled safety stops let robotic kitting lines protect nearby workers without unnecessary halts or item damage.

Excitation and feedback signals identify robot winding parameters before startup, blocking controller mismatches that could cause dangerous motion.

By relating object attributes to environment data, the controller predicts motion context to avoid collisions and navigate more efficiently.

Duplicated robot control signals across independent channels enable integrity checks and automatic switchover when one path degrades.

Segmented teaching data switches robot arms between position and force control, improving precision in contact-heavy assembly tasks.

A telescoping sensor carriage scans horizontal tubes remotely, improving inspection coverage, resolution, and safety in hazardous spaces.

Automated server maintenance splits tasks between part supply and assembly units, cutting manual errors and keeping asset records current.

A dual-processor safety architecture lets non-safety compute modules analyze sensor data while a safety processor validates outputs and timing.

Distance sensing tracks inventory holder pitch, roll, and yaw so robots can align containers accurately and raise storage throughput.

Remote support centers analyze robot error evidence and return fixes, cutting on-site technician time and cost.

Electromagnets move a magnetic part to open and close robot fingers, replacing bulky motors while keeping gripping force adjustable.

RGB LEDs on the end effector and destination bins show grasp quality, planned motion, and bin status to improve human-robot sortation safety.

Users tap a camera-overlaid route to redirect a mobile robot in real time, improving route flexibility without sacrificing control reliability.