DAROBOT Auto driving

The future is self-powered, we create it.

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RTK GPS-based sensor fusion Auto driving

Sensor fusion autonomy to overcome variables in diverse agricultural/open-road environments
Precision driving with more than just a map, including location information on weeds, crops, obstacles, and more

Route planning

- 3D Lidar: Overheating, Obstacle Data Acquisition
- Optimal pathfinding for obstacle avoidance

Object detection

- Use object data, such as weeds, to correct paths
- Leverage sensor data to track a robot's location

Trip data

- Integrate sensor fusion data to record work history
- Build an AI reinforcement learning database to improve performance

Weeding

- Weed out the weeds with AI object recognition
- Minimize power consumption by performing only necessary actions

DAROBOT_Autonomous Weeding Object Recognition