Programme-Controlled Manipulator TRIZ Cases

Pivoting wheel assemblies let mobile carriers change travel direction without reorienting loads, boosting sortation throughput and bin flexibility.

A palm backstop lets soft actuators hold slick or compliant objects more stably with lower force, reducing slip and damage during motion.

A robot models its environment and switches visual, audio, or motion cues to communicate intent and safety to nearby humans.

An augmented Jacobian uses null-space joint control to avoid collisions and reconfigure surgical manipulators without disturbing end effector motion.

Dynamic camera position and orientation control cancels relative motion during inspection imaging, reducing blur and improving accuracy.

A touch panel, projector, and camera let users select objects through a transparent chamber while keeping robot manipulation visible and safe.

Trajectory transformation across configuration spaces enables collision-free robot tool motion without stopping at space transitions.

Force- and impedance-controlled effector motion improves screw pickup reliability from a reservoir and supports accurate automated driving.

A robot uses compliant stylus touches to align touchscreen and robot coordinates, combining calibration and path setup in one compact cell.

Time-aware semantic mapping updates object location probabilities from prior observations, helping robots find moved items in changing spaces.

Multiple path planners are selected by robot posture and obstacle type to cut path generation time and avoid operation delays.

Dynamic risk zones based on robot and worker motion avoid unnecessary stops while maintaining safe collaborative assembly.

Past robot handling results guide each article to a robot or operator, improving mixed-item processing efficiency in changing warehouses.

Camera-based virtual substrate alignment teaches robot hand positions accurately without contact, reducing operator-dependent errors.

Dual-camera feedback lets a robotic arm track moving workpieces accurately while giving operators a stable view of the work area.

RF shielding with Faraday cages isolates nearby wirelessly controlled machines, enabling frequency reuse without signal interference.

A single TOF light curtain and head position sensing dynamically secure two robot work areas while reducing false alarms and sensor damage.

Blind pick-and-place retrieval adapts patterns using sensor and weight feedback to handle mixed dispensable units and trigger hazard alerts.

Future trajectory prediction lets robots adjust virtual safety cages in real time, reducing collision risk while preserving shared workspace.

A six-axis bioassembly workstation combines TSIM modeling with non-sequential and oblique deposition to build complex tissue structures in less space.

Axis-variable revolute pairs in a 3-DOF parallel mechanism improve force and torque transmission while avoiding singularities.

Two independent collision monitors—one model-based and one sensor-based—cut missed machine collisions and downtime through diverse checks.

Tag-based container recognition lets a holding system grasp small or transparent-contained objects indirectly with stable, fast operation.

Contact-triggered robot control maintains a safe distance from moving workpieces on conveyors to prevent sandwich injuries and collisions.

Surface scanning and offset virtual barriers constrain robotic arm travel, improving remote work safety in confined hazardous spaces.

A remote manipulator uses 3D workspace mapping and modular tool interfaces to inspect, maintain, and clean hazardous confined spaces safely.

Selective integrator use by control direction balances steady-state force error and responsiveness while reducing overshoot in robot operation.

Torque adjustment virtually shifts both feet during double stance to generate propulsion, improving biped robot stability and walking efficiency.

By estimating camera pose from robot images, this case aligns real and simulated views to correct teaching points without extra calibration.

A hydraulic cylinder, pressure accumulator, and valve control smooth robot peak loads, lowering motor energy demand across axis movement.

Depth images and neural network modeling predict tactile output before contact, enabling faster first-attempt robot grasping with less object damage.

Floor dot codes with reference dots let a robot recover position and heading after unexpected movement without LiDAR or structure-based matching.

Real-time spatial filters and sensor-guided microphone updates help a mobile robot recover target speech despite rapid motion and noise.

Region-specific correction parameters let a work robot apply only the accuracy needed at each target position, reducing adjustment burden.

An integrated laser-and-camera wrist head lets the robot detect target position and orientation without external sensors, improving guidance reliability.

Aggregated swept-region overlap assigns outward force vectors that bend robot paths away from congestion and collisions with less computation.

Adaptive CMM measurement strategy cuts inspection time, computation, and storage by tuning point density and speed to meet target quality.

Chronologically shifted synchronization points align press and transfer motions to cut cycle time, avoid collisions, and smooth power input.

Coordinate conversion and marker tracking align 3D images with robot motion, improving stereotactic instrument accuracy while reducing manual error.

Preloaded rolling elements smooth jaw motion while the sliding guide absorbs overloads and protects the clamp from shock damage.

External-force monitoring lets a robot machine moving workpieces and stop at a force threshold to avoid failure or deformation.

Hierarchical exception classification routes robot failures to the right assistance center, improving retail task completion without full autonomy.

Mixed metal and non-metal engaging surfaces cut gearbox weight and wear while preserving torque capacity and transmission efficiency in robot joints.

Processor-guided redundant linkages pivot surgical tools about the aperture while avoiding manipulator collisions and easing setup.

Teaching signals and sensory feedback let a robot adapt its trajectory across trials, improving control reliability with less reprogramming.

Structural evaluation is built into 3D mesh data generation, linking geometry and robotic fabrication to cut material use and reduce errors.

Remotely actuatable carriers move objects across track sections to reduce bin duplication, simplify diverts, and improve sortation throughput.

Force-position probabilistic models detect robotic insertion anomalies in real time, improving error recovery while reducing computation.

A laser spot and multiple cameras automate robot-to-imaging coordinate registration, avoiding manual calibration and view obstruction.

Tilt feedback shifts the robot heading toward the uphill direction to limit slip and keep travel closer to the target route on slopes.