Project 16 · Robotics / Outdoor Automation

AutoMow AI Retrofit Kit

Domestic & Commercial Autonomous Mower Conversion

Industry
Robotics / Outdoor Automation
Services
Embedded Systems Computer Vision Mechanical Retrofit
TRL
2 → 8
Duration
10 months
Technologies
Edge AI GNSS RTK CAN bus BLDC motor control
AutoMow retrofit kit map
Figure 1 — Retrofit kit components installed on host mower (top-down).
Retrofit safety architecture
Figure 2 — Five-layer safety architecture (software guards down to E-stop).
Commissioning app mockup
Figure 3 — Field commissioning app with 7-step workflow.
Real-world AutoMow AI Retrofit Kit installation
Figure 4 — Real-world deployment.

Project background

Owners of conventional ride-on and zero-turn mowers wanted autonomy without replacing their equipment. The client tasked us with designing a retrofit kit capable of converting existing mowers into self-driving units.

Challenge

Mowers vary widely in controls, hydraulics, and electrical systems, so the kit had to abstract over those differences. Safety — obstacle detection, fail-safe braking, geofencing — was paramount, and the kit had to be installable in the field by technicians rather than engineers.

Approach & solution

We designed a modular kit with a standardized interface harness, a vision-plus-GNSS perception stack, and an electronic actuation layer for steering, throttle, and blade control. Safety is enforced at multiple layers, including a hardware e-stop independent of the compute unit. A commissioning app walks technicians through per-machine calibration.

Results & benefits

The retrofit kit converted several mower models successfully in pilot installations, operating autonomously on real properties. The modular design cut installation time significantly after the first few deployments.

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