Embedded Files
2024
2024
L-VITeX: Light-weight Visual Intuition for Terrain Exploration
Our recent project, L-VITeX, has been featured on Hackster.io, the leading community for engineers. It offers efficient Regions of Interest (RoI) detection using the FOMO tinyML architecture. Achieving over 99% accuracy, it operates on minimal hardware (peak RAM < 50 KB) with near real-time inference speeds under 200 ms.
2023
world-wide 11th Position in International Rover Design Challenge 2023a
world-wide 11th Position in International Rover Design Challenge 2023a
Team Ogroddot Co-lead of softeare sub-team
Team Ogrodoot , developed under my technical leadership competed in the International Rover Design Challenge 2023. Featuring a mother-daughter robot system and leveraging Meta’s SAM for Martian terrain segmentation, it achieved finalist status and ranked 11th globally, showcasing innovative exploration capabilities.
2021
2021
world-wide 25th Position in International Rover Design Challenge 2021
world-wide 25th Position in International Rover Design Challenge 2021
Team Ogrodoot Co-lead of software sub-team.
The initial suspension test of Ogrodoot, our Mars rover for IRDC 2021, was a key milestone. Post-test, we enhanced the wheel design for better performance. Balancing this demanding project with lab finals and semester exams made it one of our team’s most challenging yet rewarding achievements.
2019
2019
Semi-Finalist, Hult Prize on Campus Round
Semi-Finalist, Hult Prize on Campus Round
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