Lawn-Mowers TRIZ Cases

Turn-triggered angle changes help robot mowers enter narrow passages and obstacle zones while improving coverage and reducing repeat travel.

Candidate turn positions and rotation safety checks let an autonomous mobile device work closer to boundaries without collision.

Electromagnetic boundary guidance helps a self-moving robot find the charging line faster and dock more reliably without random searching.

By steering toward the largest unmowed region after boundary or obstacle turns, the mower improves coverage and speed with low-precision navigation.

Boundary-triggered turning steers the mower toward the largest unmowed area, speeding lawn coverage despite low-precision navigation.

By detecting limited movement from travel and collision patterns, the robotic work tool selects an exit path to escape traps and restore even coverage.

Using height and slope data ahead of travel, the controller varies mower speed to cut uneven lawns cleanly while reducing uncut areas.

A movable contact element separates low-obstacle avoidance from high-obstacle detection, preventing false protective triggers in outdoor robots.

Forward image sensing helps a robot mower distinguish missed high grass from obstacles and steer back for timely cutting.

When satellite signals drop near foliage or structures, the mower uses dead reckoning and reference objects to restore accurate positioning.

A forward-reverse-forward turn keeps the offset grass cutter overlapping the mowing pattern, helping robotic lawnmowers cut tight corners cleanly.

When satellite signals drop near foliage or structures, the mower uses dead reckoning and reference objects to confirm position and keep mowing accurately.

User-rated mowing windows train AI with weather, lawn, and profile data to improve local scheduling accuracy and fit user preferences.

Multiple magnetic sensors and an offset deviation reference point keep autonomous vehicles aligned to electromagnetic induction lines with less infrastructure.

A repositionable image module lets an autonomous lawn mower switch between mowing and monitoring modes while improving boundary and obstacle detection.

Near the boundary wire, the mower ignores proximity sensor false positives and uses magnetic field sensing to maintain full area coverage.

A remote server combines GNSS antenna data and RTK correction to keep robot lawn mowers accurate near obstacles and weak satellite coverage.

User-defined boundary segments let the mower cut beyond the edge only where needed, improving flexibility while avoiding full-perimeter cutting.

By exploring weak-signal shadow regions and correcting their mapped range, the device improves positioning accuracy and work efficiency.

Coverage values guide boundary turns so a self-moving work device avoids repeated passes, handles narrow areas, and maintains even coverage.

Map-based region assignment sends edge zones to turning-heavy machines and interior zones to faster machines so multiple workers finish together.

Rotational-speed clutch weights replace manual engagement in lawnmower transmissions, simplifying operation while saving space and parts.

By backing up to a target turning point before rotating, the machine improves turning control and avoids irreversible grass damage.

GPS-based boundary mapping replaces wires and fences, letting autonomous grass mowers define work areas with lower setup cost and more flexibility.

LIDAR-based setup lets an autonomous vehicle map fixed reference objects and build path plans faster in obstacle-rich operating sites.

When wire signals drop out, the robot searches in opposite directions to reacquire the magnetic field and resume work without user intervention.

Dual ultrasonic sensors at different frequencies detect angled obstacles and ignore non-blocking reflections in a mower's path.

Offset-based position mapping defines precise stay-out areas without tracing each boundary, cutting robotic work tool setup time.

Parallel arcuate mowing paths and changing travel direction reduce missed or repeated cuts while improving lawn coverage efficiency.

A front-mounted camera is positioned so its view reaches the mower response distance, enabling non-contact obstacle detection and avoidance.

Electromagnetic boundary loops, signal detection, and odometry help an autonomous lawn mower navigate complex terrain and dock for charging.

Real-time slip control adjusts steering, engine speed, and implement depth in stages to maintain traction on varying terrain.

Distinct paths to and from the charging base cut tire-mark overlap on the field while keeping autonomous mowing between areas battery-aware.

Weak positioning signals near trees and buildings are mapped and corrected through local exploration to improve robotic lawn navigation accuracy.

Sensor data from a guided perimeter lap is used to refine non-physical work area boundaries for more accurate robotic tool installation.

A movable contact element separates low-obstacle evasion from high-obstacle detection, reducing false protective stops in outdoor robots.

Area-specific schedules adapt cutting height, frequency, and navigation to grass type, improving lawn quality and reducing weed growth.

A mobile interface guides beacon placement, grass height, and return-path teaching to improve robotic lawnmower navigation and monitoring.

Radar-based grass detection replaces exposed cameras, helping mower robots avoid stones and pavement while maintaining reliable cutting in any light.

A GPS-guided servo retrofit turns different zero-turn mowers autonomous while preserving manual control and adding safety override.

When a mower reaches a lawn boundary, it compares left and right path angles to choose the better tracking direction and improve mapping quality.

By choosing the boundary side closest to the mower head orientation, this case reduces turning and improves lawn boundary mapping quality.

An auxiliary cutter extends flush with the mower housing, then switches modes on object detection to trim edges safely without damage.

Automated boundary closing conditions let a robotic mower build a virtual lawn map without repeated manual adjustments or turf damage.

Stored GNSS coordinates replace movable wires or fences, letting an autonomous work vehicle validate restricted-zone entry and avoid it.

Angled ultrasonic and lidar sensor coverage helps automatic lawn mowers detect obstacles at different heights and distances while moving faster.

A laterally movable cutting disc lets a robotic lawn mower cut close to borders and handle longer grass with safer low-ground positioning.

Sensors and interchangeable actuators automate leveling, cutting, and irrigation on uneven ice and grass while reducing water and energy use.

A dual-wheel GPS boundary recorder replaces buried wire by tracing the mower perimeter and capturing accurate work-area coordinates.

Magnetic sensor comparison determines dock angle despite track shifts, preventing area map deformation and navigation errors.