Raunak Bhattacharyya

513-D, Academic Complex East

Indian Institute of Technology, Delhi

Hauz Khas, New Delhi

Welcome to my website!

My research is centered around the goal of enabling autonomous systems to make decisions safely and effectively in uncertain, real-world environments. Some representative research directions include imitation learning from human demonstrations, joint human-AI decision making, planning missions for autonomous inspection, and safe learning in autonomous agents. Towards these research threads, I leverage tools from reinforcement learning, generative modeling, and robotics.

I am currently teaching a course on Deep Reinforcement Learning.

Brief Bio: Previously, I was a postdoc at Oxford working with Nick Hawes. I obtained my PhD from Stanford under the guidance of Mykel Kochenderfer. I completed my MS from Georgia Tech and my BTech from IIT Bombay.

Selected Publications

Preprint

CC-VPSTO: Chance-Constrained Via-Point-based Stochastic Trajectory Optimisation for Safe and Efficient Online Robot Motion Planning

Lara Brudermüller, Guillaume Berger, Julius Jankowski, and 2 more authors

arXiv preprint arXiv:2402.01370, 2024

Bib PDF

@article{brudermuller2024cc,
  title = {CC-VPSTO: Chance-Constrained Via-Point-based Stochastic Trajectory Optimisation for Safe and Efficient Online Robot Motion Planning},
  author = {Bruderm{\"u}ller, Lara and Berger, Guillaume and Jankowski, Julius and Bhattacharyya, Raunak and Hawes, Nick},
  journal = {arXiv preprint arXiv:2402.01370},
  year = {2024},
}

ECMR

Difficulty-Aware Time-Bounded Planning Under Uncertainty for Large-Scale Robot Missions

Michal Staniaszek, Lara Brudermüller, Raunak Bhattacharyya, and 2 more authors

In European Conference on Mobile Robots (ECMR), 2023

Bib PDF

@inproceedings{staniaszek2023difficulty,
  title = {Difficulty-Aware Time-Bounded Planning Under Uncertainty for Large-Scale Robot Missions},
  author = {Staniaszek, Michal and Bruderm{\"u}ller, Lara and Bhattacharyya, Raunak and Lacerda, Bruno and Hawes, Nick},
  booktitle = {European Conference on Mobile Robots (ECMR)},
  year = {2023},
  organization = {IEEE},
}

IEEE Transactions

Modeling human driving behavior through generative adversarial imitation learning

Raunak Bhattacharyya, Blake Wulfe, Derek J Phillips, and 4 more authors

IEEE Transactions on Intelligent Transportation Systems, 2022

Bib PDF

@article{bhattacharyya2022modeling,
  title = {Modeling human driving behavior through generative adversarial imitation learning},
  author = {Bhattacharyya, Raunak and Wulfe, Blake and Phillips, Derek J and Kuefler, Alex and Morton, Jeremy and Senanayake, Ransalu and Kochenderfer, Mykel J},
  journal = {IEEE Transactions on Intelligent Transportation Systems},
  volume = {24},
  number = {3},
  pages = {2874--2887},
  year = {2022},
  publisher = {IEEE},
}