Publications

2024

1. Preprint

   A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers

   Daniel Omeiza, Raunak Bhattacharyya, Marina Jirotka, and 2 more authors

   arXiv preprint arXiv:2408.08785, 2024

   Bib PDF

   @article{omeiza2024transparency,
     title = {A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers},
     author = {Omeiza, Daniel and Bhattacharyya, Raunak and Jirotka, Marina and Hawes, Nick and Kunze, Lars},
     journal = {arXiv preprint arXiv:2408.08785},
     year = {2024},
   }

2. 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},
   }

2023

1. 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},
   }

2022

1. 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},
   }

2021

1. IEEE Transactions

   A hybrid rule-based and data-driven approach to driver modeling through particle filtering

   Raunak Bhattacharyya, Soyeon Jung, Liam A Kruse, and 2 more authors

   IEEE Transactions on Intelligent Transportation Systems, 2021

   Bib

   @article{bhattacharyya2021hybrid,
     title = {A hybrid rule-based and data-driven approach to driver modeling through particle filtering},
     author = {Bhattacharyya, Raunak and Jung, Soyeon and Kruse, Liam A and Senanayake, Ransalu and Kochenderfer, Mykel J},
     journal = {IEEE Transactions on Intelligent Transportation Systems},
     volume = {23},
     number = {8},
     pages = {13055--13068},
     year = {2021},
     publisher = {IEEE}
   }

2020

1. ACC

   Online parameter estimation for human driver behavior prediction

   Raunak P Bhattacharyya, Ransalu Senanayake, Kyle Brown, and 1 more author

   In American Control Conference (ACC), 2020

   Bib

   @inproceedings{bhattacharyya2020online,
     title = {Online parameter estimation for human driver behavior prediction},
     author = {Bhattacharyya, Raunak P and Senanayake, Ransalu and Brown, Kyle and Kochenderfer, Mykel J},
     booktitle = {American Control Conference (ACC)},
     year = {2020},
     organization = {IEEE}
   }

2019

1. ICRA

   Simulating emergent properties of human driving behavior using multi-agent reward augmented imitation learning

   Raunak P Bhattacharyya, Derek J Phillips, Changliu Liu, and 3 more authors

   In International Conference on Robotics and Automation (ICRA), 2019

   Bib

   @inproceedings{bhattacharyya2019simulating,
     title = {Simulating emergent properties of human driving behavior using multi-agent reward augmented imitation learning},
     author = {Bhattacharyya, Raunak P and Phillips, Derek J and Liu, Changliu and Gupta, Jayesh K and Driggs-Campbell, Katherine and Kochenderfer, Mykel J},
     booktitle = {International Conference on Robotics and Automation (ICRA)},
     year = {2019},
     organization = {IEEE}
   }

2018

1. IROS

   Multi-agent imitation learning for driving simulation

   Raunak P Bhattacharyya, Derek J Phillips, Blake Wulfe, and 3 more authors

   In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018

   Bib

   @inproceedings{bhattacharyya2018multi,
     title = {Multi-agent imitation learning for driving simulation},
     author = {Bhattacharyya, Raunak P and Phillips, Derek J and Wulfe, Blake and Morton, Jeremy and Kuefler, Alex and Kochenderfer, Mykel J},
     booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
     year = {2018},
     organization = {IEEE}
   }