Robotics · AI · Autonomous Navigation
Earth Rovers
Results
- 01ROS-based autonomous navigation stack
- 02Onboard perception with YOLO and custom SLAM
- 03Live teleoperation interface for remote operators
- 04Adaptive behavior across varied terrain

Earth Rovers is a fleet of autonomous terrestrial rovers built to explore and analyze real environments. Each rover runs a ROS-based stack with onboard perception and adaptive navigation.

Our AI systems power real-time decision making and path planning, allowing the rovers to handle complex terrain, dynamic obstacles and environmental challenges while collecting scientific data.

The project combines robotics engineering with machine learning: a perception pipeline using computer vision, custom SLAM for localization, and remote teleoperation for human-in-the-loop missions.
