Programme-Controlled Manipulator TRIZ Cases

Free-spinning bearing coupling lets a robotic gripper self-balance uneven loads during fast motion, reducing separation risk without sensors.

Marker-centered camera rotations let robots derive criterion point position automatically, cutting calibration time while improving alignment accuracy.

Preplanned robotic block placement preserves tracking line of sight while forming reinforced concrete columns with permanent block formwork.

Shared measuring points let robots and a conveyor establish coordinate transforms with fewer measurements and faster recalibration.

Sensor-guided learning from demonstrations and exploration helps robots execute manipulation tasks in changing environments without pre-programmed skills.

A sensor placed by the substrate fixing section tracks temperature without stressing the MEMS mirror, preserving stable 3D measurement accuracy.

Detector-guided adjustment repositions only unpickable components before pickup, cutting repeated attempts and improving supply efficiency.

Axially divided casing parts use main bearings as alignment references, enabling large speed reducers to be machined on existing equipment.

Motor-driven haptic feedback lets a robot test complex safety boundaries without stopping, while guiding it back toward a safe position.

Calculating servo parameters from multiple arm angles keeps inclined robot arms accurate and responsive during positioning and force control.

Combining multi-joint sensor and command data lets an exoskeleton detect anomalous kinematics early and block unsafe operation.

Non-contact transmitters compare real and calculated component positions to detect deviation and warn of faults in inaccessible equipment.

A fiducial near the end-effector lets cameras calibrate to a robotic arm during normal motion, reducing setup time and system changes.

Selective container picking lets a warehouse robot sort items accurately without moving whole racks, cutting energy use and rack customization cost.

Force-guided sanding updates a low-resolution workpiece model with real contact points, improving digital twin accuracy and material removal consistency.

Contact waveform learning lets a robot detect socket slip on a bolt head and correct end-effector deviation without complex vision systems.

Natural language, vision, touch, and AR inputs let non-experts teach robot movements while preserving precise command generation.

Dynamic force thresholds use orientation sensing to keep robotic end-effector motion accurate on contoured surfaces and prevent excess force damage.

A pivoted wheel layout keeps the rotary axis aligned with the pipe center, enabling stable travel, accurate drilling, and inspection.

Simulation-trained autoencoders and GAN adaptation cut real-world labeling needs while improving 3D pose estimation under occlusion.

Permanent magnets and magnetic sensors estimate trocar pose through sterile barriers, enabling precise robotic arm docking without powered trocar electronics.

Multiple spring assemblies tune stiffness by degree of freedom, block unwanted motion, and measure displacement for more accurate end-effector positioning.

A master robot compares sensing data with a reference map, then shares position data so slave robots avoid costly localization hardware.

A model-based soft-sensing approach estimates hydraulic manipulator terminal force from cylinder pressure and dynamic parameters without fragile force sensors.

Axial wave-generator displacement lets strain wave gearing tune torque, rigidity, play, and lost motion without stopping operation.

Orthogonal motor-driven gears give a robotic surgical instrument flexible single-incision access without sacrificing compact torque transfer.

RGB LED cues show planned robotic arm motion and system state in advance, helping workers sort safely around high-speed automation.

A front-mounted SPAD ToF sensor detects approaching cliff edges early, letting mobile robots adjust propulsion before the drop.

Parallel collision circuits prune probabilistic roadmap edges in real time, cutting robot motion planning power versus CPUs or GPUs.

A detachable end-effector with onboard locomotion extends robotic arm reach and enables inspection or material application beyond arm limits.

Centralized analysis of operating data from multiple medical robots enables early abnormality detection, remote support, and more reliable operation.

Multiple mobile agents with dual arms and changeable tool heads cut build time by coordinating multi-material additive, subtractive, and pick-and-place tasks.

Process data from an earlier machining step predicts shape deviation, letting robots compensate path errors with less manual adjustment.

A constrained robot joint simplifies the force path so sensors can isolate off-axis loads and improve delicate force control.

A binary mask fuses 2D image and 3D depth data to separate bin objects from similar backgrounds with lower cost and compute.

Sensors detect arm contact force and trigger controlled or null-space motion to limit surgical injury without interrupting the procedure.

Robotic scanners test mobile barcode apps under real lighting, angle, and position conditions to automate realistic regression testing.

Tagged circulation boxes let robots guide order picking directly into packaging, removing separate sorting and reducing warehouse handling time.

A locked body-worn safety device enables operator presence near autonomous machines without fixed barriers or repeated shutdowns.

Embedded local processors let modular end-effectors self-calibrate, simplify robot control wiring, and cut maintenance downtime.

Graphical bot modeling with automated compilation and validation cuts script rework, prevents runtime conflicts, and improves processing efficiency.

Structured light and multi-color illumination refine pose estimation and error compensation for precise robotic grasping in cluttered assembly.

Image-based force estimation lets a robot switch between visual servo and force control to avoid obstacles and improve assembly precision.

Sampling-based camera path planning around object depth maps cuts 3D reconstruction load while improving robotic grasping accuracy.

Image-based minimum viable regions let robots register unknown objects, determine grip points, and avoid mishandling heavy or irregular loads.

A 3D hoisting-area model plans obstacle-aware load paths, balancing faster transfer with sway control and collision avoidance.

A guidance map steers camera poses to avoid holes and redundant captures, improving 3D model completeness with less scanning time.

Optical target imaging through a pilot bore locates an obstructed bore centerline, cutting manual alignment time for match drilling.

Coordinated mobile platforms switch between paired and unpaired modes to pass tight spaces yet stay stable when manipulating heavy objects.

Sensors track probe and body movement so a robotic arm can clean and reinsert an endoscope along the original path despite motion.