ROBOTIC MOWING / ROBOTIC MOWING

Robotic mowing.

A clear working path, through shade and corners.

Connect fused positioning, lawn perception and coverage planning for complex boundaries, satellite obstruction and moving obstacles. Build mowing performance that can be evaluated consistently.

Gardens and public lawnsComplex boundariesCoverage planning

Explore the solution Discuss your application

Robotic mowing application imagery from the HOPO product manual — HOPO / APPLICATION 04Application imagery · product manual

01 / FIELD CHALLENGES

One lawn. Multiple navigation and perception challenges.

Define the solution around actual operating conditions.

Trees, corners and narrow passages

Canopy and buildings obstruct satellite signals; walls can introduce multipath. Mowers need controlled operation across open and degraded-signal areas.

Impact: deviations, stops and repeated work

Varied obstacles and moving objects

Branches, toys, furniture, people and pets differ in appearance and size. Low obstacles can lie in blind spots; one sensing method does not cover every condition.

Impact: blocked paths and machine safety challenges

Coverage, boundaries and docking

Irregular lawns, exclusion zones, connecting passages and dock placement determine routes. Positioning alone does not provide a complete mowing workflow.

Impact: missed areas, inefficient detours and docking issues

02 / SOLUTION ARCHITECTURE

Let pose, boundaries and obstacles shape the mission.

Combine GNSS, IMU, VIO and visual SLAM with stereo depth and scene understanding. Integrate navigation, planning, cutting and chassis control in layers, with defined machine operating limits.

HopoEngineSENSOR FUSION / NAVIGATION / INTEGRATION

GNSS / RTKAbsolute reference in open areas

IMU / VIOAttitude and relative motion

Visual SLAMEnvironmental features for localization

Stereo depth / semanticsSpatial structure and obstacles

SYNCHRONIZATION / CALIBRATION / FUSION

FUSION ENGINEHopoEngine

Combine pose, motion and observations into navigation outputs

DEVICE & EXECUTIONPlanning / chassis / cutting control

Connect existing controls and safety strategies through agreed interfaces.

APPLICATIONCoverage and mission recovery

Configure missions, records and feedback with the application system.

Conceptual architecture: sensors, payloads and execution modules are selected by project. The diagram does not imply that every module is included in one device.

Fusion under obstruction

Combine inertial and visual information as GNSS conditions change. Evaluate canopy, walls, repetitive texture and lighting, then configure slower operation or pauses according to localization status.

Evaluate: continuity, boundary error and recovery

Depth sensing and obstacle routing

Stereo depth provides spatial observations and semantic perception supports object classification. Coordinate slowing, avoidance and exclusions with cutting safety, contact detection and braking.

Evaluate: low objects, blind spots and moving targets

Coverage planning and task continuity

Configure coverage using lawn boundaries, cutting width, exclusions and passages. Connect progress, resume points and docking to the machine task system to reduce overlap and missed areas.

Evaluate: coverage, passage access and repeat docking

03 / MISSION WORKFLOW

From mission definition to execution and feedback.

01
Define lawn boundaries
Work zones, exclusions and passages
02
Configure coverage
Cutting width, direction and turns
03
Navigate and perceive
Track routes and respond to obstacles
04
Resume and dock
Progress and localization status

04 / APPLICATION FIT

Match the integration to the mission.

Canopy / walls / flower beds

Residential gardens

Validate irregular boundaries, narrow passages and garden obstacles within the intended operating scope.

Multiple lawns / shared areas

Campuses and public lawns

Coordinate activity periods, zone definitions and obstacle response with multi-area missions and records.

Structures / inter-row grass

Solar sites and orchard grass

Test obstruction, repetitive structures, low clearance and terrain; confirm suitability against the base and sensors.

05 / INTEGRATION & VALIDATION

Integrate with clear interfaces. Validate with field data.

O1 / HopoEngine

O1-series form factor illustration

NAVIGATION / EXECUTION

O1 + HopoEngine

GNSS/IMU + monochrome stereo

Begin evaluation with O1. Integrate the mower base, controller, dock and sensor fields of view, selecting the configuration through field testing.

Navigation outputs→Interfaces and frame alignment→Machine control and missions

View product and configuration

Three groups of field validation criteria

Agree operating conditions and acceptance targets before comparing field results.

Coverage performance

Missed areas, overlap and boundary tracking

Obstruction response

Canopy, walls, recovery and localization status

Obstacles and docking

Low objects, moving targets and repeat docking

Capabilities depend on sensors, machine control, operating conditions and project scope. Confirm accuracy, perception and mission performance through field evaluation.

QUESTIONS / ANSWERS

Clarify the key questions before integration.

Define the environment, interfaces and delivered scope with HOPO.

Is accuracy identical under all trees and beside all walls?

Obstruction, lighting, texture and mounting affect the sensors differently. Fusion improves adaptability; validate localization and recovery on the target lawn.

Does fusion eliminate boundary configuration?

Navigation and work-zone definition are separate functions. Virtual boundaries, mapping or other boundary methods depend on the mower design and site conditions.

Who implements docking and cutting safety?

Navigation and perception provide inputs. Docking, battery management, cutting control and safety interlocks require the respective machine systems. Define the delivered scope clearly.