Programme-Controlled Manipulator TRIZ Cases

A virtual guidance shell keeps the welding heat source on path, improving weld consistency while reducing operator exposure and manual variability.

A concentric bearing and custom slip clutch cut actuator bulk while preserving load support and enabling magnetic torque sensing.

A trained difference model reshapes simulated robot state data toward real-world behavior, reducing physical data collection and robot wear.

Adjustable magnetic adhesion and wheel-tracked crawling let the robot weld large flat or curved members without guides while improving seam tracking.

A detachable end effector releases on contact while passing through a safety barrier, enabling safer automated eyelash extension application.

A model-free controller uses control barrier functions and reduced-order kinematics to compute safe robot velocities without full dynamic models.

Independent clamping components and support extensions let a robotic end-of-arm tool grasp, stabilize, and place objects closely in packing tasks.

A posture-graph approach relaxes contact constraints to plan robot effector trajectories with lower computation and better multi-contact decisions.

Dual IMUs on articulated tool sections derive absolute orientation and differential pose for accurate multi-axis tracking without cumbersome mechanics.

Dual control loops use scale-based mass and flow feedback to guide robot pouring, improving target fill accuracy and reducing spills.

By matching workpiece 3D data to robot coordinates, this case improves arm posture accuracy and preserves movable range during route teaching.

Dynamic zones around a detected human position let the robot stop, slow, or interact safely even during sudden movement.

Dynamic driver loading lets robots detect and run new end effectors without changing the main control program, enabling real-time tool switching.

A cooperative behavior metric lets robots adapt joint actions with human operators, improving task success and efficiency in shared workspaces.

An onboard light source verifies camera latency and throughput in real time, enabling lower-cost autonomous robot sensing with safety validation.

A ball structure with independently driven rings and magnetic levitation enables stable narrow-space navigation and rapid recovery.

A viscous flow field guides robot joints by velocity error instead of restoring force, avoiding stored energy and sudden harmful motion.

Buffered motion commands and sensor-measured behavior are compared to detect robot collisions quickly without extra mechanical parts.

2D image processing extracts distance data to measure stacked workpiece thickness accurately without requiring side-surface sensor alignment.

Human corrections become sensor-linked correction instances that retrain shared robot models and improve action accuracy in changing environments.

Multi-modal tactile sensing in a robotic gripper detects item slip early and adjusts grasp force to reduce drops and damage.

EMG-based intent classification predicts user motion before full processing, cutting control lag and improving natural exoskeleton actuation.

A clutch-switched elastic actuator stores and releases spring energy to boost robotic joint torque while lowering motor power demand.

Multiple distributed pneumatic pistons improve force control in robotic finishing tools while reducing stack height and blocking dust ingress.

Machine learning retargets robot control signals in real time to suppress vibration during fast motion without heavier, stiffer hardware.

Real-time virtual and physical twin coordination lets robots adapt to unpredictable environments while preserving reliable human interaction.

Autonomous pallets and moving carriages replace fixed conveyors to assemble multi-model parts with higher logistics flexibility and lower line remodelling cost.

Real-time workspace recognition lets the robot identify workpiece pose and regenerate paths without teaching points or jigs.

Null-space pose adjustment uses transpose Jacobian metrics to avoid singular force mapping and improve force application and detection.

A radial spring and PTFE-lined bushing cut clutch drag while maintaining concentricity, slip torque consistency, and load resistance.

Relaxed contact and object constraints unify posture, contact, and trajectory planning to produce realistic virtual character motion with less computation.

3D time-of-flight cameras and an electromagnetic sensor automate palletizer calibration and pallet station teaching to improve alignment and throughput.

Combining time-of-flight and infrared sensing lets underactuated grippers assess grasp success more reliably across varied objects without force sensors.

A gearless actuator, force sensing, and a restoring spring enable smooth contact detection and jerk-free force control on sensitive surfaces.

Movement-based robot assignment balances movable-part travel in article transport, reducing uneven maintenance and easing system upkeep.

A freely rotating end effector balances uneven object loads during fast robotic motion, improving grasp stability without complex sensors.

A camera-guided gripper switches between suction, friction, and back-face grasping to unload mixed packages faster with less suction delay.

Integrated increase-decrease scoring tracks disturbance torque trends to catch small robot abnormalities with fewer false alarms.

By downloading job data in transit and switching to wired sync on arrival, a self-movable robot reduces waiting time before work starts.