AUTONOMOUS MODULAR ROBOT MOWER (SERGAP)

A smart AI-powered robot mower with modular arms for eco-friendly, quiet, and autonomous land maintenance.

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Inspiration

We were inspired by real-life problems faced by landscaping workers, farmers, and sanitation officers including noise pollution, fuel costs, and physical exhaustion from traditional lawn mowing equipment. We also saw a significant opportunity to create an AI-based modular agricultural robot that is accessible, eco-friendly, and efficient.

This is how SERGAP was born: a smart autonomous modular mower that adapts to multiple use cases, beyond just cutting grass.

What it does

SERGAP is an AI-powered autonomous robot that:

  1. Cuts grass autonomously with obstacle detection
  2. Switches functionality using modular arms (mower, rice planter, leaf/snow blower, etc.)
  3. Uses RTK GNSS, 360° camera, and AI-based autonomous pilot
  4. Is fully integrated with a no-code app (MyKilat App) for monitoring and control
  5. Operates on solar energy for low-emission, quiet, and efficient maintenance

How we built it

  1. Hardware: Built using brushless motors, a crawler-based chassis, Raspberry Pi 5, and camera sensors
  2. Modular Mechanism: Designed plug-and-play robotic arms with hydraulic system for multi-functionality
  3. AI Navigation: Developed obstacle-avoidance system using RTK GPS + LiDAR + 360° camera
  4. No-Code Stack: Built user interface and automation using Adalo, Node-RED, and Make (Integromat)

Challenges we ran into

  1. Maintaining centimeter-level precision with RTK GNSS in unpredictable weather
  2. Ensuring compatibility between hardware components and sensor systems
  3. Balancing strength and weight in modular arm design
  4. Making the app and UI user-friendly for non-technical users

Accomplishments that we're proud of

  1. Completed and tested the remote-controlled prototype (SIGAP) on various terrains
  2. Initiated the full autonomous version (SERGAP) with modular architecture
  3. Selected in multiple national innovation programs and startup grants
  4. Built a working prototype capable of mowing up to 1.8 hectares per hour with 360° monitoring

What we learned

  1. Deep understanding of integrating no-code tools into hardware-based products
  2. Importance of user research and fast prototyping in hardware innovation
  3. How AI + robotics can improve inclusivity, sustainability, and public service efficiency

What's next for AUTONOMOUS MODULAR ROBOT MOWER

  1. Enhance the AI navigation algorithm with real-time learning
  2. Finalize and test multiple modular arms (e.g., rice planter, leaf blower)
  3. Deploy pilot units to campuses, public parks, and plantations
  4. Launch cloud-based dashboard for analytics, usage reports, and remote monitoring
  5. Seek government partnerships and green-tech certifications

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