Programme-Controlled Manipulator TRIZ Cases

Multiple analysis models fuse visual and sensing data so a service robot can recognize user situations accurately and respond proactively.

A mobile manipulator and workbench robot automate cell passaging in shared labs, avoiding dedicated robotic infrastructure.

A segmented cable guide fixes and routes robot-arm cables in tight spaces to prevent rubbing, movement, and wear during motion.

An object-centric 6D pose diffusion policy cuts costly robot demonstrations while improving transfer across tasks and hardware platforms.

A geared linkage and cam connector enables fast, secure end effector changes on robotic arms while preserving sterility and alignment.

By shifting the rotation axis while gripping viscous food, this case reduces gripper adhesion and improves portioning hygiene and accuracy.

A modular head shell, vertical sensor layout, and spaced antennas reduce blind spots, damage risk, and signal interference in humanoid robots.

Mobile sensors navigate premises, detect conductive liquid leaks, and trigger control actions quickly enough to limit water damage.

Detachable wrist tools let a humanoid robot switch between gripping and task execution with lower control load and higher productivity.

Automated semantic matching selects predefined text prompts for open-vocabulary object recognition, improving accuracy while cutting manual effort.

Electronic synchronization between the carrier and end effector enables continuous 180-degree workpiece inversion with higher throughput.

Object-centric latent states and RRT planning improve long-horizon robot motion planning from visual data while reducing slow RL convergence.

Tracing and shape learning let a robot-guided ultrasonic probe follow the real target surface for more accurate flaw detection.

Rotary stop joints and a grounding part help maintain bent-knee posture, reducing muscle load while improving balance and fall resistance.

Virtual trajectory display and 3D end-effector models help set target positions and calibrate imaging for more precise robot paths.

Multi-angle robotic vision maps nearby surgical objects into virtual boundaries, avoiding collisions without separate trackers or heavy computation.

A motion-state mapping lets a robotic arm keep a movable object balanced at non-end positions, preventing slide-off and improving stability.

Translating uncompiled workflows into timed instrument instructions helps biological foundries avoid scheduling conflicts and raise throughput.

Simulation-trained agents use robot and environment parameters to configure controllers faster and reduce manual programming effort.

A camera-guided gripper uses machine learning to locate energy input points and automate precise, safer energy delivery in hazardous conditions.

Multiple cameras and lasers localize tote openings in 3D, enabling precise transfer alignment, higher storage density, and faster exchange.

Self-supervised robot retrieval paths are reversed into placement trajectories, cutting manual demo collection while improving object placement.

Low-cost color vision and randomized patrol let a small autonomous robot remove weeds in mulch gardens without herbicides or complex GPS.

A robot arm uses a roller, adhesive pool, and thinning sheet to coat complex aircraft parts more uniformly with less manual labor.

Pre-positioning insulating elements at an intermediate station lets a robot mount vehicle parts accurately while reducing labor and mix-up errors.

A circumferential conductive sensor lets a robotic end-effector handle rotate freely while avoiding wiring friction and easing cleaning.

Bidirectional traversal and independent multi-arm motion enable compact, flexible wafer handling with simultaneous substrate transfer in tight vacuum spaces.

An eight-DOF robotic arm and elastic support tube improve surgical approach paths and ease insertion of multiple working ends through a trocar.

Remote operator selections train a communication robot to match user intent with suitable action sets, cutting response delay and manual burden.

By moving actuators and brakes to the shoulder, this surgical robot arm cuts joint weight and inertia while simplifying wrist and elbow control.

Camera vision and ML map ramps, curtains, and dock features in 3D so a mobile robot can plan safer loading dock entry and unloading.

Interactive gait torque editing lets users adjust peak timing, intensity, and intervals to tune mobility aid assistance without expert setup.

Independent finger members grip sticky food, then project and retract edges to release, orient, and batch it with more consistent weight.

Automated scanning and pick-and-place match vehicle-specific parts before installation, cutting manual sorting time and worker strain.

A sloped inner surface and gasketed support structure drain liquid from robot joints while limiting dust ingress and corrosion.

A support yoke keeps the steering ring engaged with offset drive wheels, removing a fourth bevel gear to save space and simplify assembly.

A motion parameter model synchronizes pose, speed, and acceleration control to improve robot trajectory accuracy and motion efficiency.

Protrusions and high-friction support surfaces keep substrates positioned during faster robotic transfer, reducing slip and drop errors.

Attention-guided compression preserves critical video regions for remote vehicle control while adapting to fluctuating bandwidth.

Pressure- or vacuum-rigidized nested robotic members help endoscopes navigate curved anatomy, prevent GI looping, and improve tip control.

Hydraulic transmission and dual-actuator control let articulated joints deliver high torque, fast motion, and safer human interaction.

A pre-tensioned cable thumb module reduces wire damage during joint rotation while keeping robot hands compact, durable, and human-like.

Alternating projection-based and window-based matching cuts tracking load while preserving real-time robot localization accuracy.

Existing robot task videos are segmented and altered into new object layouts and trajectories, cutting data collection time and cost.

A robotic gripper and stabilized lift secure an underwater glider during ship recovery, reducing shaking, collisions, and data-loss risk.

Ground-level LiDAR and RGB camera fusion enables real-time tree detection and geometric trait extraction where canopy occlusion limits aerial or trunk-based methods.

Physiological feedback and Bayesian optimization personalize wearable robot dynamics without device-specific reprogramming, improving comfort and efficiency.

A circular reservoir uses movable receiving seats and fill detection to balance feed and removal capacity without rigid FIFO or LIFO handling.

Multi-axis slide rail and handwheel adjustment improves probe contact stability and measurement accuracy for micro-nano components.

Virtual execution on a second robot model flags incompatible configuration data, cutting re-teaching effort while preserving operation reliability.