European Rover Challenge (ERC) 2022

Posted on August 25, 2025 by Yash Kumar Sahu

Table of Contents
Collage
The Leo Rover

ERC Challenge

The European Rover Challenge (ERC) is a renowned international planetary robotics competition organized by the European Space Foundation, that provides a valuable opportunity for students looking to advance their careers in industries vital to future generations. Students from technical universities around the world form teams and design unique robots. After few months of hard work their concepts are validated by space sector professionals. When qualified to the finals, teams further test their prototypes on a geologically realistic Martian terrain in numerous demanding tasks based on real NASA and ESA missions.

Teams develop perception and control algorithms for the rover to perform tasks such as marker identification, localization, path planning, autonomous navigation, and object detection in the Mars arena—a synthetic environment designed to mimic Martian conditions with craters, real rocks, and mud. The rover is operated remotely in real time (we controlled it from India while it was deployed in Poland). The algorithms are first developed and validated in a Mars simulation environment and then tested in real-world conditions.

Our Team

Team Shunya: Yash Kumar Sahu (Software Team Lead), Jagadeeshan, Chandan, Atharv, Radhika, Pranav, Deep, Chayan, Radhika, Bhavna, Yash, Vishal, Rajesh, Devi, Ram, Vishnu, Murali, Himanshu, Tushar, Sibi, Manas, Vishnuram. Prof. Shubhankar Chakraborty (Mentor).

Team
The team, starting from left, Jagadeeshan, Chandan, Atharv, Radhika, Pranav, Deep, Chayan, Radhika, Bhavna, Yash, Vishal, Rajesh, Devi, Ram, Vishnu, Murali, Himanshu.

Results

Ranked 6th globally at the remote edition world finals featuring 50+ teams from 10+ countries. 2nd Rank Globally at the Qualifications-A Round.

Final Match
Glimpse from the final competition. From the control station, we monitored the rover’s perspective through its front-camera live feed while simultaneously observing the execution of our autonomous navigation code in the terminal.
Qualification A Results
Results of Qualification A.