European Rover Challenge (ERC) Remote 2023
ExoMy Rover with UR3 Arm System
Competition Result: 5th Place + Best Maintenance Award (2023)
Overview
Developed a comprehensive autonomous rover navigation and robotic manipulation system for the European Rover Challenge, combining computer vision, autonomous navigation, and precision robotic arm control for space exploration applications.
• Navigated ExoMy rover using ArUco detection, Ackermann steering, and spot turns for autonomous hazard avoidance
• Calibrated UR3 arm with MoveIt and OMPL planner for collision-free manipulation (98% success)
Technical Stack
Tech Stack: ROS Noetic & ROS 2 Foxy (with Gazebo, Rviz), MoveIt, OpenCV
Ritabrata Chakraborty
ML Intern
Research Engineer specializing in robotics, computer vision, and autonomous systems. Currently developing automated data annotation solutions with foundation models for autonomous vehicles at Uber.