Autonomous Zero-Turn Mower
Ground-up autonomy platform, LiDAR + RTK GNSS, 360° safety coverage, operating on real properties.
Capability
Autonomy stacks from perception to actuation, with the safety interlocks and manual-override paths that make them deployable. We build ground-up autonomous platforms and add autonomy to platforms that were manual yesterday - mobile robots, retrofits, and arm-based cells.
Scope
Robotics is autonomy that operates in the physical world - which is what makes it hard. We treat every robotics program as a systems problem: perception, planning, control, safety and human-machine interface are one design decision, not five separate ones.
Outcomes
A robotics program succeeds when the robot does the job repeatably, safely, and without a human standing next to it. What our robotics programs consistently deliver:
Sensor fusion designed against the weather, lighting and surface variation the platform will actually see - not the sim environment. Our zero-turn mower operates on real properties end to end, with LiDAR + RTK GNSS and 360° safety coverage.
Redundant emergency stops, monitored speed and stop, guarded zones designed as first-class parts of the stack - not bolted-on tick-boxes. When the safety system trips, it trips predictably.
Autonomy added to manual platforms without butchering them - reversible where possible, documented always. The platform still works manually the day the autonomy needs maintenance.
Runbooks, commissioning procedures, remote-diagnostic tooling and update pipelines. Autonomy that only its authors can operate is not deployable.
Process
Four phases with a real deliverable at each gate - you always know what you paid for and what ships next.
PHASE 01
We start from the constraint that binds - power, latency, thermal, certification - and design backwards from it. You leave with a written architecture, a budget range and the risks named, whether or not we build it.
PHASE 02
Schematics, mechanical and firmware architecture proceed in parallel. High-risk blocks get simulated or breadboarded before the full layout commits.
PHASE 03
Iterative revisions against real bench and field testing. You see every revision, not just the last one. Integration is continuous, not a phase.
PHASE 04
Pilot in the field, closure with the contract manufacturer, production test procedures, and a commissioning-grade handover pack.
Technologies
The platforms we reach for most. If a project needs something not on this list, we say so - the tool is chosen for the constraint, never to fit our habits.
Industries
Autonomous mowers, weeders, and harvest platforms operating on real ground.
AMR integration, arm-based inspection cells, warehouse workflows.
Inspection robotics for substations and inaccessible plant.
Autonomy retrofits for mobile fleet platforms.
Deliverables & IP
Every robotics program hands over: full stack source (ROS 2 workspace with launch files and configurations), simulation environments (Gazebo / Isaac Sim scenes for regression), calibration procedures, safety-case documentation with failure-mode analysis, deployment runbook, remote-diagnostic tooling, and an update pipeline for future stack revisions. All foreground IP transfers on payment.
Case studies
Every entry links to the full case study - constraints, what we built, and what it measured afterwards.
Ground-up autonomy platform, LiDAR + RTK GNSS, 360° safety coverage, operating on real properties.
Cell-level automation with tight cycle budgets and vision-guided inspection.
Instrumentation embedded in critical grid assets with hard safety envelopes.
Compliance
Australian workplaces run under AS/NZS 4024 machine-safety and ISO 13849 functional-safety expectations. Our autonomy stacks are designed to align with these standards from the architecture stage - redundant emergency stops, monitored speed and stop, guarded zones, PL-appropriate safety controllers.
Formal PL/SIL certification is executed with an accredited Functional Safety Engineer (FSE) partner; we design the safety case to line up with certification expectations and manage the FSE relationship end-to-end. For autonomous mobile robots operating in workplaces, we align to ISO 3691-4 principles for driverless industrial trucks.
FAQ
Why Incendio
Robotics programs fail at three seams: perception-to-planning, planning-to-control, and stack-to-safety. We hold all three, plus the hardware that runs them - so when the platform behaves unexpectedly in the field, one team debugs it. The proof is a mower operating on real properties end-to-end, not a demo lawn.
Related practices: edge AI, computer vision, industrial automation, embedded systems.
Start
A latency budget, a power budget, a certification date. We reply within one business day - and we’ll say so if we’re not the right team.