Programme-Controlled Manipulator TRIZ Cases

Synchronized feeders, vacuum adsorption, and a mechanical arm reduce manual splicing errors in floor pattern assembly.

Polymer fiber tendons enable low-friction actuation in miniature robotic surgical tools.

This case uses bimetallic catalysts to dehydrogenate C2-C5 NGL and oligomerize alkenes into liquid fuels and feedstock.

An optical tattoo analyzer guides robotic application while NFT records manage tattoo rights and support authenticated reproduction.

Couplant-free ultrasound and line-based imaging help robots inspect tubular cracks and corrosion faster across complex surfaces.

A service robot uses proximity sensing, distance measurement, and face recognition to rotate its display toward approaching users.

Kernel-based gradients deliver linear complexity for high-dimensional and non-Euclidean robot trajectories while preserving coverage.

Badges move within the displayed field of view to keep instrument identifiers visible when tools are small, edge-adjacent, or obscured.

A two-stage fixture and computer vision process helps one robot realign with different equipment while reducing setup effort and downtime.

A segmented robot arm separates its inertia sensor from motor vibrations, supporting accurate vibration damping control.

A moving pitch converter alternates substrate spacing to reduce processing liquid use while preserving holding-member accuracy.

A smart gas IoT platform combines risk-based robotic inspection with adaptive monitoring for safer underground pipeline corridors.

A robotic crop manager uses mushroom bed data to select tools dynamically, reducing overgrowth and harvest damage.

This case uses detachable suction box portions, seals, and a recess to support cleaning, rigidity, vacuum retention, and lower weight.

Independent actuators and electronic synchronization support customized robotic grippers without costly bespoke mechanical designs.

A visual sensor and controller detect misplaced workpieces before placement, reducing interference and production interruptions.

A multi-joint arm adjusts endoscope motion and rotation speed to keep the observation target within the monitor's visual field.

A backdrivable, series-elastic controller adapts impedance by gait phase for smoother, user-initiated exoskeleton assistance.

A solid circular body, symmetric strain gages, and bridge compensation improve torque accuracy while integrating gearbox sealing.

A robotic crop manager uses mushroom bed state vectors to select tools dynamically, supporting frequent picking and minimizing damage.

This medical arm assembly uses an adjustable remote center to support tool motion while limiting skin damage and surgical trauma.

Multiple handling devices and clamping transfer stations support parallel filling while reducing manual contact and contamination risk.

This case uses instrument detection, clinician prompts, and condition checks to assign pedals before delivering electrosurgical energy.

Approach-phase optical and tactile images train a model to predict pose offsets, enabling accurate correction without specialized fixtures.

This case shows how pantograph linkages and elastomeric fingers stabilize varied component shapes without complex control.

A wearable robot uses motor-driven twist strings to assist waist and arm strength without heavy rigid actuators.

Modular sensors, a couplant reduction film, and a transducer POD support systematic, high-resolution inspection on thick assets.

Adaptive vacuum modes help robotic end effectors grasp varied loads with secure airflow.

This case sets face constraints from grasp direction and posture to coordinate accurate grasping, release, and transfers between robot arms.

Simulated trajectories from different patients train a CRL framework for more generalizable ultrasound and medical sensor navigation.

This case combines robot images with touch stimulation to improve contact-status checking during remote operation.

The wearable device tunes torque delay from joint angle, stride time, and gain to align assistance with movement.

Multimodal robot inputs guide iterative denoising to reduce repetitive physical demonstrations.

Linear gantry picking reduces tote movement while processing varied objects.

This case shows how image and biological data guide a learning robot to adapt interaction timing to changing user states.

A tiltable painting head clears obstructions while preserving nozzle proximity and uniform painting resolution across the object.

Remote cameras correlate statistical noise patterns on divided markers to locate and orient moving objects across large working volumes.

A 3D camera projects detected planes into 2D images, enabling marker coordinates for robot teaching without complex setup.

A learning device estimates user emotion from face and biological data, enabling adaptive robot actions that reduce unnatural interactions.

Integrated multi-turn encoding simplifies robot joint calibration and repair.

Motor brakes hold the delta robot precisely, while an input device releases them for intuitive manual carrier adjustment.

Docked and undocked vertical shelves give robots and personnel access to instruments while preserving assay integrity and laboratory space.

A machine learning model checks query clarity, refines ambiguous requests, and reduces repetitive question-answering for image recognition.

A stationary tape supply and pivoting deflection unit reduce robot payload while supporting continuous, flexible-path application.

Multiple cameras score defects before, during, and after handling so robotic arms can trigger corrective actions in real time.

This case shows how rolling-contact joints, pulley structures, and flexible actuators enable passive conformation for gentle human lifting.

This case routes electrodes through blood vessels to reduce surgical risk while preserving neural signal sensing and stimulation.

This case shows how TDLO control uses touchdown and lift-off measurements to place a swing leg and improve balance across terrain.

A closed-loop force and motion approach synchronizes rehabilitation robots with virtual objects, reducing sudden motion changes.

Abstracted workspace states help robots generate operation sequences with less computation.