Vehicle Position/Course/Altitude Control TRIZ Cases

UWB anchors and a UAV tag enable precise autonomous landing through staged descent, reducing weather dependence and pilot skill needs.

Route and charger-aware planning raises electric working machine utilization while reducing recharge delays and standby power use.

Gas and wind sensing helps robots predict hazardous concentrations and move to safe locations before payload or vehicle damage occurs.

Mode-based terminal control lets work vehicles switch near- and far-field movement permissions for more appropriate operation.

Fixed reference markers let UGV and UAV LiDAR automatically align point clouds in one coordinate system, reducing manual surveying interruptions.

Safe-location waypoint columns let a UAV inspect vertical structures autonomously, cutting manual access time and personnel risk.

Sensor-guided trajectory changes keep tether cables from hitting ground obstacles, helping powered UAV work continue without interruption.

A configurable command translation layer lets one remote control center adapt to different vessel interfaces, cutting operator error and integration effort.

A mobile body uses its own detection unit to identify objects in designated regions, avoiding fixed sensors when transport layouts change.

Threshold-based longitudinal control switches feedback laws to steady follower aircraft speed and reduce passenger discomfort in formation flight.

A hybrid electric-engine rotor layout varies thrust differential during landing to extend UAV payload and flight duration while keeping attitude control precise.

A closed-plane laser scan around the chassis guides robot motion through narrow passages by using farthest-point distance to avoid collisions.

By combining touch regions with IMU heading-angle offsets, the robot infers interaction force and type for more accurate control events.

When ATC is unavailable, UAVs score themselves and split planning tasks to create temporary flight paths that lower collision risk and power use.

Ground penetrating radar detects buried markers to guide vehicles when GPS or visual sensors are degraded by weather or obstructions.

External position signals and onboard sensors let a recreational trailer park or exit tight spaces automatically while avoiding collisions.

Virtual obstacle areas let a mobile robot adjust path and speed around blind spots, reducing collision risk without fixed low-speed limits.

Force-sensing handlebars let workers steer an autonomous robotic cart intuitively while cameras distinguish humans from static obstacles.

Uses incoming radar beam direction to adjust yaw, pitch, and roll, managing radar observability in real time without added RCS hardware.

Inter-vehicle distance triggers switching between common and individual vehicle commands to cut communication load while keeping platoon travel stable.

Converts 3D scanner measurements into emulated 2D data so mining vehicles can use existing 2D positioning and navigation systems.

A fifth-order landing profile reduces jerk to limit VTOL tilt and drift during touchdown, even under turbulence and ground effects.

Multiple wheel-angle sensors and joint-based verification detect robot wheel slip in real time to improve odometry accuracy and reduce recalibration.

Sensor-based obstacle detection limits pilot speed only toward nearby hazards, reducing collision risk while preserving free flight in safe directions.

Imaging and proximity sensing validate robot dock placement, flag docking-area obstacles, and suggest clearer charging locations.

A 3D touch view lets UAV operators drag a target marker with orientation-matched feedback, improving waypoint selection and reducing collision risk.

Multiple independently orientable drive units cut torque demand and motor size while enabling compact holonomic robot movement.

Machine learning predicts AGV radio link failure zones from position, signal, and spatial data to keep motion safe and connected.

Vertically stacked luggage containers and guided vehicles cut manual sorting, save floor space, and keep bag sequencing flexible.

Shared timing between the planning module and control unit enables smooth plan switching and more stable UAV flight.

When machine availability changes, assigned regions are reset by completion-rate thresholds to keep autonomous mobile work balanced and efficient.

A soft drone frame varies stiffness pneumatically to absorb collision impact, while a bistable grasper enables passive perching.

External LiDAR and camera data maintain vehicle position and attitude tracking when onboard sensors are unavailable in moving production lines.

A robot ejects and recaptures a sensor probe to gather 3D environmental data without complex arms, drones, or added indoor risk.

Multi-stage robust invariant sets handle disturbances and constraints to keep vehicle trajectories feasible with lower real-time planning burden.

A fixed power source and 2D-translating float stabilize buoyancy and gravity centers for responsive underwater posture control in currents.

Floor-mounted guides let autonomous robots detect guide edges for precise endpoint localization, improving container routing speed and reducing manual handling.

Visual marker recognition lets a robot stop and resume on its path when another moving robot is detected, avoiding blind spots of infrared sensing.

A tracked robot uses discovery signals and priority handover to switch between torque, speed, heading, and waypoint control without stopping.

Combines UAV methane sensing with weather data and back-trajectory modeling to pinpoint emission sources and map leak probability.

Polarity is varied by marker spacing to cut magnetic interference at branch points, improving detection reliability and easing vehicle control.

Multiple patrol loops and UWB positioning let an autonomous robot fit working-area boundaries automatically, cutting manual setup time and extra equipment.

An initial map is refined with high-precision boundary detection, reducing manual area drawing while improving autonomous robot mapping accuracy.

RFID tags on shelves and walls correct SLAM drift, helping AGVs maintain accurate position and azimuth despite changing surroundings.

Irregular restricted airspace is modeled with polygonal boundary strips so UAVs can detect proximity and trigger automated flight responses.

When object perception becomes uncertain, the robot switches between global and local routes to improve conflict detection without unnecessary mission delay.

Wearable and vehicle CAS modules use relative positioning and fail-safe hard stops to prevent robotic asset collisions without human observers.

Calculates a shortest return path to a target line from turning radius, offset distance, and heading angle to cut robot travel time.

By calculating operator support difficulty from work status, biometrics, and communication state, mobile objects can adapt remote assistance safely.

Articulated legs and suction-supported feet let a rope-suspended robot traverse balconies and irregular facades for autonomous cleaning or inspection.