I am a Marie Skłodowska-Curie Doctoral Candidate working on the AIGreenBots EU project at the Georgia Tech–CNRS International Research Lab IRL2958 (Dreamlab), France. I’m advised by Stéphanie Aravecchia and Cédric Pradalier. My research interests are in probabilistic models, interpretability and policy learning for robotic task and motion planning.

I obtained my master’s degree in mobile sensing and robotics at the University of Bonn, Germany in 2024. I was advised by Marija Popović and Cyrill Stachniss. I also spent a semester with the Embodied AI team at the Huawei Munich Research Labs on RL and robotics simulation. Before moving to Germany, I was a master’s student at IIT Delhi, India for a short while, where I worked on model predictive control with S.K. Saha. I obtained my bachelor’s degree from SRMIST, India in 2020, where I developed delivery drones at SRMUAV.

Before starting graduate school, I was a founding employee at IHFC, a robotics-focused VC and accelerator. Here, I helped deploy $6M into robotics startups and professor-led research projects. I performed research and technical diligence, evaluating TRLs and assessing commercialization potential of prospective ventures.

News

• Jul 2025, Paper ‘Uncertainty-Informed Active Perception for Open Vocabulary Object Goal Navigation’ was published at ECMR 2025. arXiv preprint
• Jan 2025, Became a member of the Association for Mathematical Consciousness Science
• Sep 2022, ‘Design and Fabrication of a Lighter than Air Wind Turbine’, was published as a book chapter. Book Chapter
• Sep 2021, Work on model predctive control for drones was published at AIR 2021. Conference Proceedings
• Nov 2020, Served as a referee on the jury of the DD-Robocon 2020, India’s largest robotics competition.

Awards

• Oct 2025, Awarded the Naver Labs Europe travel grant to present a poster at the Naver AI for Robotics workshop.
• Jul 2025, Awarded the Phenorob M.Sc Conference Grant for my ECMR 2025 paper.
• Jun 2025, Granted the Marie Skłodowska-Curie PhD Fellowship to support my doctoral research on the AIGreenBots EU project.
• Jul 2022, Admitted (11% acceptance rate) with full financial aid to the ETH Robotics Summer School.
• Oct 2019, Won the Mathworks Minidrone competition at the 2019 IEEE IROS conference.
• Jul 2019, Won the ‘Best in Technical Design’ award at the AUVSI SUAS competition for our combined design report.

Academic Services

• Journal Reviewer: IEEE R-AL, IEEE T-ITS
• Conference Reviewer: ICRA, IROS

Misc

• I like drinking tea from all over the world.
• I like listening to, playing and programming musical instruments.
• I enjoy working on hardware, software and theory.
• I find large-scale robot learning to be quite promising but miss the uncertainty characterization and safety guarantees from classical robotics.