Karan Mahesh

PhD Student at MIT MechE & WHOI

Autonomy, Robotics, Controls, Machine Learning

prof_pic.jpg

I’m a Ph.D. student in the MIT–MechE/WHOI Joint Program, where I research multi-agent planning and autonomy. I’m fortunate to be advised by Dr. Michael Benjamin in MIT’s Marine Autonomy Laboratory. Previously, I was an AI/ML Research Scientist at Aurora Flight Sciences, working on many projects including the DARPA Learning Introspective Control program. I graduated from UC Berkeley in May 2022 with a B.S. in Mechanical Engineering and a minor in Aerospace Engineering. As an undergraduate, I conducted research in TAFLab with Dr. Reza Alam, HiPeRLab with Dr. Mark Mueller, and completed a visiting research internship with the University of Oxford’s Computational Biology Group. You can find more details in my CV.

Beyond research, I’m passionate about ethical entrepreneurship and creating strong, safe mobility networks.

In my free time, I enjoy tackling DIY projects, cooking my way through Snoop Dogg’s cookbook, and hunting for great deals on eBay.

news

Oct 1, 2024 Our paper on safe marine autonomy using adaptive control and reachability analysis has been accepted to IEEE Transactions on Control Systems Technology
May 22, 2024 Talk at Boeing Technical Excellence Conference on Fast Adaptive Learning and Control Online (FALCON), our work for the DARPA LINC program
Jan 29, 2024 Our paper on online safety certification for systems in dynamic environments was accepted to ICRA 2024!
Aug 15, 2022 I started as an AI/ML Research Scientist at Aurora Flight Sciences

publications

  1. Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances
    Rober, Nicholas*, Mahesh, Karan*,  Paine, Tyler M. and 5 more authors
    ICRA, 2024
  2. Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis
    Mahesh, Karan*, Paine, Tyler M.*,  Greene, Max L. and 6 more authors
    IEEE Transactions on Control Systems Technology, 2024