Vehicle Position/Course/Altitude Control TRIZ Cases

When stop assembly fails, the mobile body is sent to a second stop position for reassembly, avoiding travel hindrance and abnormal movement.

A central control server plans paths beyond fixed tiles, then reserves successive tiles to cut collisions and deadlocks in mixed vehicle fleets.

Automatic lift timing based on crop row layout helps an autonomous weeder work more accurately without slowing field travel.

Location-based protocol switching lets AMRs connect to a local safety controller in confined zones and revert on exit to prevent collisions.

Predicted trajectory and separation checks let an off-road vehicle limit speed near a secondary vehicle to avoid collisions in uneven terrain.

Actual passageway delays and current locations are used to update route plans, improving multi-body movement efficiency and collision avoidance.

A neural oscillator and pattern formation network shape rhythmic robot motion while cutting reward-function design time in reinforcement learning.

Sensor-based timing control aligns weeder lifting and lowering with crop row layout, improving autonomous field work accuracy and coverage.

Wind-driven sail relocation expands sensor coverage while a computing system estimates energy use and repositions the tethered payload.

State-based pitch, roll, yaw, trim, and thrust control recovers aircraft from unusual attitudes and reduces pilot workload.

Generates alternative space-occupation plans so moving-object scans can avoid conflicts and keep high coverage and utility.

Compass-based orientation feedback corrects headless UAV joystick commands when drone heading is unclear, enabling intuitive return control.

Map-based area segmentation helps robotic work tools minimize dead-reckoning time, distance, and maneuvers where satellite signals are blocked.

Uses isolated obstacle edges as path references to correct accumulated robot walking errors without cameras or laser radar.

By overlapping collision-free and communicable regions, this case keeps mobile robots connected while reducing packet collisions and motion interference.

Dynamic grouping lets semi-autonomous drones match task capabilities and reconfigure in real time to improve coordination, fault tolerance, and resource use.

Separates flight planning from safety verification by checking 4D aircraft and hazard occupancy overlap under uncertainty.

Dynamic spacing based on each vehicle's process time prevents stops or deceleration in mixed-type factory transport.

Distributed pre-fusion of offboard sensor occupancy grids cuts bandwidth and preserves fresh data for reliable automated vehicle trajectories.

When GNSS is denied, fused vision, radar velocity, and inertial data guide aircraft landing with 3D route imaging and flight path angles.

Direct thrust vector control replaces Euler-angle speed commands, keeping multi-rotor UAV speed control continuous during rolling.

Autonomous trailer handover lets loaders work without the transport vehicle present, cutting idle time and raising worksite throughput.

When GNSS is unreliable, mapped features and distance sensors help a robotic work tool maintain accurate position and safer navigation.

Poor satellite signal sections are replaced with in-area alternative paths to generate safer AMR operating boundaries and avoid boundary drift.

Risk-zone detection combines ADS-B, radar, and camera data to identify conflict aircraft and trigger accurate avoidance flights.

Intermediate position exchange enables fast, space-saving robot formation changes with fixed target positions, even around obstacles.

Preset dive control adjusts pitch, throttle, and heading to enable aggressive UAV maneuvers without higher thrust-to-weight hardware.

A unified confidence-zone map guides robot recovery and path planning when noisy or biased sensors make state estimates unreliable.

Dedicated AGVs in separate production, storage, and loading zones cut facility traffic, loading delays, and floor space waste.

Opposed LiDAR transceiver layout cuts drag and wind noise while integrated side cooling and rigid sealing improve mounting and optical stability.

Continuous AI risk assessment uses robot sensor data to predict hazards in changing environments and recommend timely safety measures.

Fixed reference markers let UGV and UAV lidar align to one coordinate system, enabling faster 3D survey fusion with less matching complexity.

A smooth quaternion-Rodrigues attitude planner avoids lockup and unwinding while improving quadrotor trajectory tracking and disturbance resistance.

Multiple robot-mounted cameras use parallax to build a real-time 3D VR scene, improving spatial accuracy for immersive remote operation.

Adaptive speed control uses obstacle distance and path curvature from a cost map to improve mobile robot safety and movement efficiency.

Camera-based monitoring detects when a remote driver stops watching the vehicle, issues alerts, and can stop the vehicle if inattention continues.

A supervisor-facing UI turns voice and phone-based airspace restrictions into structured mission data for faster, scalable UAV fleet control.

Sensor-read marks are checked against reference data so only the intended moving object accepts remote control actions, reducing misidentification.

A 3D path follower uses adaptive lookahead and separate yaw control to keep multicopter drones smooth and accurate across varying speeds.

Radio signal strength lets a mining machine detect safety gate proximity and slow or stop when the external safety network is lost.

Derived radar beam direction guides platform orientation changes to raise or lower radar cross section in real time.

Sensor-based mapping identifies negotiable uneven floor areas so robot vacuums can avoid damage and getting stuck while maintaining coverage.

An offset detector outside the main optical path identifies external light so LIDAR data can be filtered and the receiver protected.

Dynamic occupancy maps and visibility-based pose selection help multiple robots cover unknown spaces faster with lower motion and energy cost.

A control server redirects a traveling body to alternate routes after an abnormality, gathering comparison data to speed root-cause identification.

An optimized 4D descent path shifts deceleration toward idle thrust and altitude loss to cut fuel burn, air brake use, noise, and crew workload.

Filters pilot-assisted coordinate and yaw samples to remove redundant route points, cutting memory use and processing load for return-home mapping.

By moving to an observation point before passing an obstacle, a self-walking robot avoids hidden corner collisions and repeated recognition.

Feedback flight control data infers wind direction for hybrid aircraft weathervaning during VTOL transitions and propulsion failures.

Assigned work regions are recalculated when machine counts change or completion gaps exceed a threshold, keeping autonomous work balanced.