Programme-Controlled Manipulator TRIZ Cases

An arm- or reducer-driven impeller cools the motor without a separate fan, cutting wiring, parts, and structural complexity.

Shared latent task representations let robots map free-form language, goal images, and task IDs into one policy for flexible task execution.

Passive joints and waist-level actuation keep the exoskeleton aligned to the body, improving comfort, stability, and force transfer.

By detecting torque reversal across multiple backlash portions, this control approach reduces position deviation and preserves command-following accuracy.

Image-based element reliability and handling conditions help estimate robot grip positions when shape model matching is difficult.

Semantic analysis guides emulated peripheral inputs to operate software and present goal-aligned data with less manual intervention.

A nested drive and linkage layout cuts robotic arm height while improving wafer pod positioning and space use in semiconductor warehouses.

Bridge-circuit amplitude shifts under cam thrust in a wave reducer, so thrust sensing is used to correct angle output and suppress ripple errors.

Motion-capture primitives and a hierarchical graph help humanoid robots plan close contact actions while adapting to dynamic human behavior.

A compact integrated robot joint combines transmission and composite drive assemblies to deliver precise 3-DOF motion with lower complexity and energy loss.

Adjustable side and lower belts position product groups by width, cutting robot travel and cycle time during package format changes.

A hand-mounted sensor measures substrate separation height to detect warp and adjust loading height, preventing contact damage during transfer.

Segmented head, leg, and tail chambers place high and low-frequency units to preserve dog-shaped styling while delivering resonant bass and stereo sound.

A robot and trained neural network predict tuning screw positions for RF cavity filters, cutting manual tuning time and production cost.

A central actuator arrangement gives a humanoid torso independent pitch, roll, and yaw while reducing peak torque demand on hip actuators.

Hierarchical reinforcement learning splits virtual nib motion and joint-angle control to automate robot arm drawing with less human design.

Nested pusher structures automate tray stack loading and transfer, cutting manual handling, fatigue risk, and warehouse assembly time.

An anti-slip leading arm surface improves grip by touch during direct teaching, reducing slippage and post-teaching fine-tuning.

Object-status feedback moves the base or wheel portion to keep carried items stable on an underactuated robot and prevent fall-off.

Quaternion tangent-space modeling and time-warped trajectory learning improve robot pose precision while adapting to changing path points.

Optical fiducial tracking guides a marine loading arm to align with target manifolds without precise target placement, improving connection reliability.

A movable two-part robot platform combines landing surface and tool storage to speed end effector switching in maintenance tasks.

By matching camera images with medical scans and motion-stable anatomical regions, this case improves robot positioning without harmful markers.

A movable end-effector sensor maps changing workspaces through safe repositioning and compressed data transfer for accurate 3D reconstruction.

A mobile robot detects user location and state to choose the right alert type for electronic device events and timely information delivery.

Simulation predicts attachment speed, acceleration, and force so robot motions can be adjusted to stay within load and rigidity limits.

Delta layers in OpenUSD capture only scene changes, cutting memory load while keeping robotic task definitions consistent and measurable.

Natural language summaries and generative retrieval turn user requests into robot modulation values, reducing manual tuning while preserving control precision.

A thermally conductive control unit between the robot base and mounting structure transfers processor and power heat while preserving compactness.

Localization-based yield checking filters hand-held manipulator task videos so only mappable demonstrations become robot training data.

A foot pedal starts and stops image capture on a hand-held gripper camera, avoiding manual recording steps when both hands are occupied.

A height-adjustable collar holster secures retractable gripper fingers at the waist for faster access and less user strain.

Temporal interference-signal changes trigger local map updates, improving mobile robot position estimation when factory layouts shift.

Motor current monitoring detects obstacles or human interference in robotic pharmaceutical module motion, enabling immediate control response.

A flexibly supported gripper uses a sensor-facing detection surface to track finger displacement and avoid placement-surface collisions.

Adjustable side and lower belts plus vision-guided robot paths cut unproductive motion and speed product boxing across package formats.

A detachable magnetic mirror directs light to an end-effector camera while reducing drop damage during robot training data collection.

Sensors mounted on a robot's horizontal moving component capture item data during handling, avoiding stop-rotate scans and shortening cycle time.

Historical instrument-use data guides surgical tray assembly and procedure monitoring to cut waste, reduce errors, and save setup time.

Interactive 3D CG envelopes replace static AMR payload plots, reducing sizing errors and verifying payload position under operating limits.

Sensor-guided articulated arms and vertical motion enable precise food transfer across variable rack positions while reducing manual handling errors.

Adaptive sensor activation and modular subsystems help robots navigate changing gaming spaces while balancing safety monitoring and power use.

Affordance plans turn vision and language into concise end-effector pose guidance, improving robot manipulation accuracy and generalization.

Scene images are analyzed by a vision language model to suggest suitable hand-held manipulation tasks and improve robot training data collection.

Closed-loop scale feedback lets a workbench robot scoop powdery, particulate, or viscous materials to target weight with high precision.

Plate-shaped fixing members use protrusions, a hole, and a notch to align and secure a robot exterior with faster assembly.

Bounded predictive control blends with passive reactive damping to infer human intent, cut effort, and keep collaboration stable.

A two-stage BEV segmentation pipeline uses Dice loss and joint training to improve monocular 3D detection of large objects under noisy depth regression.

A lateral brake facing the wrist motor cuts actuator axial length while preserving braking torque and reducing gear wear.

A robotic end effector combines tube gripping, input operation, and scanning to automate lab testing with higher accuracy and throughput.