Lawn-Mowers TRIZ Cases

Predetermined route angles replace random mowing and boundary wires to improve area coverage while preventing permanent surface wear.

Actual driving data identifies hazardous terrain zones so autonomous vehicles can set safer routes and driving conditions with fewer route creation steps.

Time-linked sensor and event data correct robot positions to map work area boundaries and obstacles for more accurate navigation.

Hybrid propulsion and onboard sensors let a converted snowblower clear mapped residential areas autonomously without external markers.

A two-stage stuck check changes robot motion first, then confirms no response before launching energy-saving self-release actions.

Two-stage sticking checks use movement-change feedback to confirm immobilization before countermeasures, reducing wasted energy and logic use.

Separate safety and zone boundaries let a satellite-guided robotic work tool confirm safe limits on site while simplifying setup in complex areas.

CRC and information bits are remapped across polar sub-channels to preserve error checking while improving decoding accuracy and efficiency.

By pivoting along a boundary arc, the mower cuts close to lawn edges without crossing the border or leaving uncut grass.

A control unit pivots the mower at the shortest boundary distance so the cutting disc trims edge grass closely without crossing the border.

Stored walking direction and magnetic boundary sensing help a smart mower avoid collisions and navigate out of narrow areas.

Surface recognition lets an autonomous mower detect lawn edges and steer out of narrow areas without boundary wires, reducing repeat passes and wear.

Alternating turn angles and timed forward moves help robot mowers cover obstacle edges and narrow passages with fewer missed areas.

By reducing wheel speed when mowing motor torque rises in dense grass, this case preserves blade speed, mowing quality, and motor life.

A high-accuracy machine shares position data to correct GNSS errors in nearby autonomous working machines operating near buildings.

Camera-based recognition lets an autonomous mower avoid temporary obstacles while still identifying docking markers and temporary no-mow zones.

Overlapping enclosed areas let a working robot define preferential and non-working zones faster, even in complex layouts.

CRC and information bits are combined in one block so polar coding keeps receiver identification while improving decoding accuracy and efficiency.

Snap-fit body mounts let a robotic work tool detach from its chassis quickly, improving maintenance access while keeping assembly low cost.

Anonymous area and user data let a central planner coordinate multiple robotic work tools without exposing sensitive location details.

A server-mediated workflow links 3D lawn pattern selection to robotic mowing, keeping virtual designs synchronized with real lawn output.

Sensors expand and refine lawnmower work boundaries around non-working areas, avoiding perimeter wires while improving mowing accuracy.

Millimeter wave radar guides speed and steering changes so a robotic garden tool avoids obstacles with fewer collisions and less random movement.

Wireless signal strength guides a robotic garden tool back to its docking station with simple turns, improving docking efficiency without complex mapping.

Displaying and verifying travel control conditions before startup helps autonomous work machines avoid unintended travel and supports remote parameter updates.

A raised guard shields the robot lawn mower emergency stop switch from overhead obstacles, preventing unintended shutdown during mowing.

Magnetic field sensing lets a self-propelled mower detect boundary wire signal loss and quickly locate wire breaks with less manual tracing.

A bent-edge circular skid plate lets robotic mower knives cut lower on uneven ground while reducing scalping and obstacle damage.

Radar, camera, and RTK GNSS data let a robotic garden tool build accurate virtual boundaries automatically, reducing manual setup in complex lawns.

Overlapping ultrasonic sensors let a robotic lawn mower detect obstacles before impact, avoiding collision-based sensing cost and damage.

Radar ground-distance sensing detects lift events without movable parts, improving sealing against water, dirt, and debris.

Preplanned path maps with different moving angles let a robotic mower keep full coverage while avoiding repeated rolling that damages lawns.

A cavity-based modular platform lets users add sensing or communication modules, cutting upgrade cost and simplifying product variants.

A ratcheting locking cap secures garden tool implements against loosening while allowing fast toolless removal for maintenance.

A ratcheting locking cap keeps a robotic mower blade module secure in use while enabling tool-free removal and replacement.

Repositioned CRC-related bits improve polar-code decoding accuracy while preserving error checking and receiver identification.

CRC bits are repositioned within polar-coded blocks to preserve error checking and receiver identification while improving low-bit transmission efficiency.

GPS, rangefinding, and adjustable stand-offs let a vehicle-mounted trimmer follow obstacles precisely across varying terrain.

A mobile interface guides beacon placement, grass height selection, and docking path teaching to improve robotic lawnmower setup and monitoring.

Radar sensing replaces exposed cameras to detect grass reliably in soiled outdoor conditions while helping the mower avoid resistant surfaces and wasted passes.

A press-actuated push rod lock simplifies folding and unfolding, cuts package size, and uses position sensing to block startup in storage.

A moving containment zone guides autonomous mower travel across complex lawns to improve coverage, avoid narrow traps, and estimate completion time.

RTK GPS with radar or ultrasound lets the mower map lawn edges and obstacles without perimeter wires, improving navigation near trees and walls.

Shared operating variables let multiple autonomous tillage vehicles adapt random paths through a base station, cutting setup time and user intervention.

A simulated lawn model and synchronized mowing policy replace random movement, improving autonomous cutting and drive control across real lawns.

Terrain gradient evaluation guides work machines along lower-undulation routes, reducing slip risk while maintaining efficient travel.

Random charger exit and guide-wire following help robotic mowers avoid repeated tracks, protect lawns, and reduce battery waste.

Boundary and guide wire path planning lets a robotic mower leave charging on varied routes, reducing lawn rutting and power waste.

Comparing body travel with drive-assembly journey detects repeated slipping or sliding, triggers correction, and alerts users before efficiency drops.