Position/Course Control In Two Dimensions TRIZ Cases

Feedback sensing and compensation keep boundary wire signals stable across different wire lengths, removing robotic mower calibration.

Precomputed motion primitives and image-based collision checks let autonomous robots navigate tight, cluttered spaces with precise footprints.

A vehicle matches sensed concrete reinforcement signals to a reference profile for precise route position and orientation without added infrastructure.

Dense vision, sensor fusion, and adaptive maps help this autonomous cart detect changing obstacles and navigate dynamic factory and warehouse routes.

Multi-stage teleoperation uses trigger-based handover and concurrent automated features to keep autonomous vehicles operating safely despite communication delays.

A central fleet controller links incompatible AGV controls so mixed fleets can share routes, avoid collisions, and improve plant transport flexibility.

Contact sensor feedback automatically tunes contactless sensor sensitivity in a robotic lawnmower to cut false detections and missed obstacles.

Switching from manual tele-operation to GPS, IMU, and CPU-guided behaviors reduces operator burden while improving navigation and task execution.

Radar-guided ROI scanning and image fusion balance wide field coverage with angular resolution for real-time target tracking and control.

Radar and INS fusion uses particle filtering and evidence grids to localize autonomous platforms and track obstacles in real time.

Camera-based mapping and network communication let users monitor cleaning areas remotely, view maps, and control the robot cleaner from afar.

Localized wireless I/O lets AGVs receive tasks and self-route without a central server, cutting installation cost while maintaining traffic control.

Wireless situation images and trajectory data let a remote operator intervene when driver fitness or autonomous limits threaten safe vehicle operation.

A reference run records floor reinforcement signals, then correlation and polarized light enable accurate vehicle position and alignment with minimal hardware.

Vehicle data is sent to an external planner to compute precise transfer paths in barrier-separated areas, improving reliability and obstacle avoidance.

By predicting obstacle positions, the robot adjusts its shape and path in advance to avoid contact while traveling safely and efficiently.

Phase comparison between emitted and reflected RF signals enables precise mobile self-location with a single passive tag and no lengthy calibration.

Dynamic Kalman filter weighting by straight and curved path sections improves robot navigation accuracy while reducing overlap and training needs.

Distributed cameras monitor the full planned route, enabling autonomous vehicles to stop, delay, or reroute around obstructions.

Using laser distance feedback from two object features, the vehicle iteratively rotates and translates to reach a precise target position.

Target speed is adjusted from the maximum route deviation within a probable position range, improving haulage vehicle path recovery despite GPS error.

Analytics server recalculates completion scores to re-route autonomous vehicle pick paths toward alternate inventory locations.

An onboard system computes a virtual axis to guide aircraft taxiing without external infrastructure.

Steering control system calculates spatial offset between leading and trailing wheels to minimize crop damage during headland turns.

A linear path planning method evaluates segments between waypoints to guide vehicles through environments.

A radar circuit uses parallel constant false-alarm rate subdetectors to process return signatures.

Dynamic switching between pre-learned driving models adapts vehicle behavior to real-time sensory data.

Electronic guidance replaces mechanical rails to eliminate high infrastructure costs while maintaining directional stability on inclines.

A computing system generates normal and safe path plans using concatenated motion primitives for autonomous vehicle navigation.

Segmenting the traversing range into non-overlapping units prevents collisions while cyclically detecting positions reduces energy consumption.

Radar sensors provide environmental-independent reference data that corrects ultrasound distance measurements affected by temperature and humidity variations.

Universal adapters transform heterogeneous feedback into common formats, resolving integration complexity among mixed robot types.

External cameras track passive markers on devices to eliminate heavy onboard sensors, resolving the trade-off between measurement precision and vehicle weight.

Computing device filters sensor signals using admissible address dictionaries to generate ghost-free 3D target representations.

Radar and camera modules integrate data to detect small objects like curbs, resolving the trade-off between detection speed and precision.

An automatic traveling system uses connection routes to maintain movement when tag readings fail.

A UAV determines wind speed and direction using constant bank angle turns and onboard position data.

Structured light generators project three-dimensional path plans onto contained areas, enabling accurate navigation without expensive GPS infrastructure.

Radar sensors analyze stationary scatterers to calculate velocity, resolving GPS noise and inertial sensor inaccuracies in autonomous navigation.

Integrated code recognition eliminates external navigation infrastructure, reducing device complexity while enabling autonomous collision avoidance.

Segmented path management reduces turf damage from repeated cart traffic while maintaining golfer convenience through dynamic route switching.

A trackless transit system uses a command control and orchestration system to manage vehicle movement without physical tracks.

An automatic driving system guides vehicles along predefined paths using onboard sensors and actuators for precise steering control.

An autonomous movement device updates environment maps using time-based validity periods for detected obstacles.