Programme-Controlled Manipulator TRIZ Cases

A digital twin and parameter database automate laser path and process tuning for precise, efficient bionic surface manufacturing.

Cost-effective mapping and obstacle-aware path modes help cleaning robots avoid overlap, adapt to new obstacles, and improve area coverage.

Palm-mounted time-of-flight and infrared sensing improves grasp success detection for underactuated robotic grippers handling varied objects.

Automatic switching between AR and 3D graphics keeps industrial machine displays intuitive and usable when the camera is not facing the robot.

A tilting suction unit creates a wedge-shaped gap to lift central panel workpieces from chaotic stacks without pulling adjacent sheets.

Real-time sensor feedback lets a robot end effector maintain distance over surface variations, improving precision and reducing setup.

Sensor feedback during lifting detects bundled articles and switches the robot arm to a suitable handling method for more reliable picking.

Depth images are projected into the robot travel plane to detect multi-level obstacles with faster route planning and fuller coverage.

A detachable positioning member lets a parallel link hub initialize accurately in tight spaces while preserving rigidity, range, and speed.

Obstacle type recognition lets the robot choose small user-aware avoidance or larger detours, balancing collision prevention with interaction.

Digital airframe and skin models guide 3D-printed shims that fill assembly gaps, cutting adhesive use, thickness, and shimming time.

Force feedback detects off-target contact during robotic fitting, then separates and repositions parts to avoid deformation and improve insertion accuracy.

Contact sensing, magnet coupling, and a programmable interface let operators assemble and fine-tune a collaborative robot safely on site.

Inflection point checks help a robot decide when obstacle crossing has ended, avoiding endless edge-following and restoring the main path.

Internal hub passages route cables through a robotic chain joint without widening the arm, reducing cable damage while preserving strength and motion.

A staged hole-drilling sequence keeps aircraft parts aligned, clears lodged chips, and cuts burr removal time during automated fastening.

Voxelized obstacle streaming and runtime graph switching help robots plan collision-free paths faster in changing, cluttered environments.

Multiple recognizers switch by layout state to detect aligned and bulk workpieces despite poor lighting and low background contrast.

Correctable automatic mode lets a robot adjust downstream target coordinates when workpiece positions shift, avoiding full re-teaching.

Orientation-aware couplings and module ID lookup let modular robots self-generate topology and control models, reducing reconfiguration effort.

2D and 3D imaging generate verified minimum viable regions so robots can register unknown packages and reduce drops and collisions.

Sensor-equipped gripping jaws detect sheet-metal slip and relative velocity early, enabling countermeasures that prevent ejection without safety fences.

Occupancy priors learned from semantic maps help mobile robots generalize trajectories across new environments while improving parameter convergence.

Pass-through and rotational couplings let robotic vacuum hoses pivot freely, reducing bending stress and extending hose life in wide-workspace motion.

An inference model builds beliefs from prior actions so a robot can infer hidden state and match expert behavior more accurately.

Existing conveying lines move target containers between workstations, avoiding robot dispatch delays and easing warehouse congestion.

A fieldbus-linked tracker and robot arm cut cabling and latency, enabling accurate real-time motion control in dynamic environments.

Weighted passive controller modules let redundant robots handle multiple tasks while staying stable near singularities and model errors.

A castellated reel clutch and pulley load-cell sensor protect robotic tendons from overload and sharp-bend wear while preserving force measurement.

A manipulator follows a control contour to open a protected storage cover mechanically, avoiding extra actuators and manual access.

Two robot arms pivot around a shared axis and use zero-position imaging to boost container picking speed while avoiding interference.

Elastic snap-fit coupling replaces bolts in resin speed reducers, simplifying robot assembly and disassembly while maintaining torque transmission.

A generator maps real-world images to canonical simulation so robot policies train efficiently in simulation and transfer more reliably to reality.

A Cartesian bending head forms precise 3D lingual orthodontic wires with torque compensation, 180° bends, and fewer workspace constraints.

Analog robot motions are translated into digital path data to shorten additive process planning and avoid full CAD/CAM re-planning.

Two pivoting robot arms pass through a zero position for container imaging, boosting pick throughput while reducing collision risk.

Image-based body, ground, and step maps let legged robots plan stable footholds and avoid collisions in cluttered rooms and stairs.

Sensor feedback rotates the arm and tray to keep food level during acceleration, deceleration, and slope travel.

Power is cut during vehicle travel and restored before arrival so the robot arm is ready sooner while reducing movement energy use.

A single image sensor combines intensity and distance data so mobile robots can follow lines and avoid obstacles with fewer sensors.

Machine-learning image analysis identifies pickable workpieces and sets robot pick parameters to cut reconfiguration effort and raise transfer rates.

Tool-state graphics are rendered directly on each tool at matching 3D depth, reducing view obstruction and visual search in stereo robotic displays.

Segmented robot and obstacle polyhedrons speed path interference checks by limiting detailed collision analysis to likely contact regions.

Multiple neural networks compare object poses from two viewpoints to quantify uncertainty and improve robotic grasp selection in noisy scenes.

Integrated command-related panels on the robot programming screen reduce screen switching and make setting, sensor, and execution data easier to access.

A virtual travel axis fixes robot posture selection, cutting calculation load, movement time, and interference risk during target positioning.

A reusable work-primitive library and simulated training let multi-purpose robots automate varied tasks while reducing tele-operation burden and wear.

Automatic selection and adjustment of robot process parameters avoids violations when multiple safety monitoring functions run in parallel.

Depth-image inpainting predicts unseen occupancy behind obstacles, helping mobile robots plan paths without added sensors or elevated cameras.

Force-sensing 3-DOF robot combines parallel chains and assisted motion to speed planar fastening while reducing fatigue and cross-threading.