Land-A2e

Land-A2e is a multipurpose tool carrier for autonomous agricultural task handling. This Exobot™ has a modular design which allows it to be configured for multiple applications on rough terrain. The track width can be adjusted by interchanging chassis tubes. The robot's powerful four-wheel-steer, four-wheel-drive system allows it to drive effortlessly through narrow corridors, steep slopes and muddy soil. Rechargeable, portable power packs for in-field battery replacement, plug and play. The modular nature of this robot enables it to be equipped with a multitude of sensors and tools. Land-A2e is especially useful in monitoring, crop maintenance and light labor automation tasks.

Power

    Energy Source:
  • Battery: 48V, lithium iron phosphate battery
  • Autonomy: +7 hours autonomy on relatively flat terrain

    • Drive system:
  • Nr of motors: 8 (four wheel steer, four wheel drive)
  • Nominal speed: 3 km/h
  • Max drive speed: 6 km/h
  • Traction power is sufficient for most monitoring and plant care activities on rough terrains (slopes up to 30%, deep mud). The robot is not suitable for heavy tillage (ploughing or deep cultivation)

Mechanical

  • Dimensions: Wheel base 1.2 m, adjustable track width from 1 m to 2 m
  • Wheel drive power: 750W per wheel
  • Wheel steering power: 350W per wheel
  • Weight: 300 kg base configuration
  • Payload: The robot can carry payloads up to 300 kg for a centrally mounted payload/implement.
  • Minimum turning radius: 0 m
  • Braking/Parking mode: Shorting motors or by X configuration wheels

Environmental

  • Build for monitoring, crop maintenance and light labor automation application.
  • Applications: Low volume spraying (LVS), fertilizing, monitoring, mowing, side trimming, superficial harrowing, leaf blowing, basket transport, towing
  • IP54 protection

Connectivity

    Connectivity:
  • 4G towards cloud based control center
  • OTA updates
  • Remote controller (optional with safety switch)

Control

    Control:
  • ARM based controller + PLC
  • External safety switch

    • Processing:
  • x86 or ARM based
  • RAM: 8GB - 16GB
  • Gigabit Ethernet port

    • Optional Machine Learning hardware:
  • Jetson Xavier - Orin
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