About Me

I am currently pursuing my Ph.D in Electrical Engineering at the University of Southern California. I am advised by Prof. Somil Bansal as a part of the Safe and Intelligent Autonomy Lab (SIAL). I received my Master's degree in Robotics from the University of Michigan, Ann Arbor and Bachelor's in Mechanical Engineering from VIT University, India. My research interests include autonomous navigation, perception, and reasoning in robotics.

Research interests: Safe-Navigation of Robots, Autonomous Vehicles, Computer Vison.

Note: I am actively looking for summer internships for 2025 focusing on safety in the autonomous systems and robotics industry. If you are aware of such opportunities, please feel free to shoot me an email! My expected graduation date is December 2025.

  • C.V.

    •  kaustavc [at] usc [dot] edu


News!

[October 2024] New paper on Enhancing Safety and Robustness of Vision-Based Controllers is out on arXiv.
[September 2024] Our paper in collaboration with NVIDIA on safeguarding AVs from perception failures is on arXiv.
[August 2024] Our paper has been accepted to IEEE Transactions on Robotics!.
[May 2024] Had an amazing time at ICRA 2024 in Yokohama, Japan!
[April 2024] Looking forward to attend the 43rd Southern California Control Workshop at UC Los Angeles on April 19th!
[December 2023] Our paper on synthesizing various safety and liveness filters using Hamilton-Jacobi reachability analysis is out on arXiv!
[September 2023] New paper on detecting and mitigating system-level anomalies of vision-based controllers is out on arXiv!
[March 2022] Our paper on finding failure cases for vision-based controller using reachability analysis has been accepted to RA-L and will be presented at IROS 2023, Detroit!
[August 2022] I will be the teaching assistant for EE 482: Linear Control System for Fall 2022 at USC.
[June 2022] Our paper on obstacle aided path planning has been accepted in RA-L and will be presented at IROS 2022. Thanks to all my collaborators!
[May 2022] I passed my PhD screening exam in the Signal and Image Processing Track!