Programme-Controlled Manipulator TRIZ Cases

A virtual-physical test bench evaluates tactile quality early, cutting prototype iterations, development time, and testing cost.

By evaluating suction gravity center at each pickup position, this case improves product balance and prevents cut parts from catching on residual material.

By splitting dense robot paths into kept and excluded points, this case cuts wobbling and communication load while preserving motion accuracy.

Sound and vibration feedback on a touchscreen teaching dial helps operators set robot or machine-tool movement more accurately without a separate rotary knob.

A trailer-based reference frame and centerline path costs help mobile robots keep clearance and handle loads more accurately inside trailers.

A vacuum nozzle holds and positions pull rings for automated pull wire laser welding, reducing defects, assembly time, and operator strain.

A moving dual-workpiece support and top-mounted robot surface cut cell height and cable complexity while increasing robot capacity.

Offline target-point correction uses actual surface reference points to avoid coordinate switching, improving robot accuracy on uneven surfaces.

Sparse-graph intermediate waypoints help robots bypass large dynamic obstacles and avoid getting stuck in constrained spaces.

A mixed-reality teaching tool lets workers adjust virtual welding torch posture in air, cutting teaching time while improving alignment accuracy.

A segmented arm and base control scheme repositions the robot in advance to reach targets beyond arm workspace with lower computational load.

Visual sensors use track-side reference objects and edge lines to guide robot motion without ground codes, cutting upkeep and improving accuracy.

Selective sensor shutdown in collision-free robot zones boosts speed and cuts energy use while maintaining protection elsewhere.

A proximal motor and planetary roller screw cut knee rotational inertia, improving legged robot responsiveness and acceleration.

Selective vacuum pad activation and rotation improve scrap detachment reliability when target shapes vary across a grid of adsorption pads.

Separate human and robot loading zones let a machine tool handle workpieces in parallel, cutting downtime without operator interference.

Weight, image, and location sensing let a patrolling robot assign serving tasks and routes from real-time demand in event spaces.

By extracting process-specific motor control signals from production data, this case enables real-time quality evaluation with manageable processing load.

Sensor-based velocity vector control keeps a robot aligned with moving articles when conveyor and robot travel directions differ.

By supporting sheet components on the processing device during re-gripping, parallel handling cuts transfer delay and cycle time.

Preplanned constraint conditions shorten robot planning time while enabling collision-safe, energy-limited tasks and smooth control mode transitions.

An endoscope, EM tracking, and neural-network guidance enable precise kidney access without fluoroscopy, reducing radiation and procedure time.

Imaging-guided singulation and end-effector control help robots pick, orient, and place mixed packages with less setup complexity.

Dual-frequency RFID and path feedback let an inventory robot match bins to item tags with higher accuracy and less manual counting.

3D reference poses and workspace views help operators align elongate devices with planned markers and navigate degrees of freedom more accurately.

Temporary spatial reference cells let autonomous measurement vehicles keep high accuracy while adapting workflows in smart factory quality control.

Binding data capture and robot coordination improve rebar tying precision and help maintain accurate bar positioning during concrete pouring.

Curved sealed pressure chambers let a multi-chamber rotary piston actuator deliver wider motion, steadier angular velocity, and lower contamination risk.

Interactive venue maps and robot status views help operators coordinate casino service robots, improving task allocation and real-time monitoring.

Remote master control and slave robot switching reduce operator infection risk while keeping specimen collection procedures efficient.

Terminal state regularization aligns adjacent manipulation policies, reducing state coverage demands and improving long-horizon task execution.

Autonomous teach-in uses predefined moves and collision detection to reset slide imaging supply positions after configuration changes.

Processor-based telexistence lets multiple users view or take over a humanoid using VR and cameras, with mapping selection and joint-load safety checks.

Elastic connectors between transmission elements absorb overload, enable torque sensing, and simplify retrofitting without losing strength.

Statistical processing of visual and holding-position data filters vibration and variation, improving alignment accuracy while shortening control time.

A service robot ranks action candidates by success score and requests remote help only for unfamiliar situations, improving autonomy.

Optical light-level monitoring lets distributed robot controllers detect cable faults before disconnection and keep unaffected joints operating.

Additional target positions extend robot motion past the programmed endpoint to avoid unworked workpiece edges and improve finish quality.

A WYSIWYG recipe builder unifies cell setup, device configuration, and error recovery so non-experts can deploy robotic assembly workflows faster.

A universal mounting interface lets robots swap sensor modules, cutting specialized hardware cost while improving task-specific sensing.

Wheel-speed and posture-based control simplifies modular robot setup, enabling fast motion-mode reconfiguration with stable, flexible operation.

Shape-guided gripping and fixing keeps complex workpieces in a predetermined posture, improving machining consistency without manual jigs.

Using reflective targets and a laser tracker, this case builds a base coordinate system to improve 3D robot and process tool pose measurement.

Force and moment sensing lets a robot detect part engagement during insertion, correct orientation, and avoid assembly damage.

Force feedback lets the gripper align and move unknown piece goods with less holding force, reducing wear, energy use, and drop risk.

Repeated instruction tracking lets an autonomous mobile body vary action details, improving user discipline and interaction.

Risk-aware self-training uses point clouds, elevation maps, and uncertainty-guided exploration to improve mobile robot terrain prediction.

Sensor-based force feedback adjusts grip and alignment for unknown piece goods, cutting wear, energy use, and drop risk.

Prioritized candidate paths let a robot avoid obstacle interference without checking every option, improving path-setting speed and safety.

Visual cues expose shared data and hardware links between program icons, helping operators build industrial machine control logic faster.