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ORCIDRaunak P. Bhattacharyya
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2020 – today
- 2025
[j3]Michal Staniaszek, Lara Brudermüller, Yang You, Raunak Bhattacharyya, Bruno Lacerda, Nick Hawes:
Time-bounded planning with uncertain task duration distributions. Robotics Auton. Syst. 186: 104926 (2025)- 2024
- [i8]Lara Brudermüller, Guillaume Berger, Julius Jankowski, Raunak Bhattacharyya, Nick Hawes:
CC-VPSTO: Chance-Constrained Via-Point-based Stochastic Trajectory Optimisation for Safe and Efficient Online Robot Motion Planning. CoRR abs/2402.01370 (2024) - [i7]Daniel Omeiza, Raunak Bhattacharyya, Marina Jirotka, Nick Hawes, Lars Kunze:
A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers. CoRR abs/2408.08785 (2024) - 2023
- [j2]Raunak P. Bhattacharyya
, Blake Wulfe, Derek J. Phillips, Alex Kuefler, Jeremy Morton, Ransalu Senanayake, Mykel J. Kochenderfer:
Modeling Human Driving Behavior Through Generative Adversarial Imitation Learning. IEEE Trans. Intell. Transp. Syst. 24(3): 2874-2887 (2023) - [c5]Michal Staniaszek, Lara Brudermüller, Raunak Bhattacharyya, Bruno Lacerda, Nick Hawes:
Difficulty-Aware Time-Bounded Planning Under Uncertainty for Large-Scale Robot Missions. ECMR 2023: 1-7 - [i6]Daniel Omeiza, Raunak Bhattacharyya, Nick Hawes, Marina Jirotka, Lars Kunze:
Effects of Explanation Specificity on Passengers in Autonomous Driving. CoRR abs/2307.00633 (2023) - 2022
- [j1]Raunak P. Bhattacharyya, Soyeon Jung, Liam A. Kruse, Ransalu Senanayake, Mykel J. Kochenderfer:
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling Through Particle Filtering. IEEE Trans. Intell. Transp. Syst. 23(8): 13055-13068 (2022) - 2021
- [i5]Raunak P. Bhattacharyya, Soyeon Jung, Liam Kruse, Ransalu Senanayake, Mykel J. Kochenderfer:
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering. CoRR abs/2108.12820 (2021) - 2020
- [c4]Raunak P. Bhattacharyya, Ransalu Senanayake, Kyle Brown, Mykel J. Kochenderfer:
Online Parameter Estimation for Human Driver Behavior Prediction. ACC 2020: 301-306 - [i4]Raunak P. Bhattacharyya, Ransalu Senanayake, Kyle Brown, Mykel J. Kochenderfer:
Online Parameter Estimation for Human Driver Behavior Prediction. CoRR abs/2005.02597 (2020) - [i3]Raunak P. Bhattacharyya, Blake Wulfe, Derek J. Phillips, Alex Kuefler, Jeremy Morton, Ransalu Senanayake, Mykel J. Kochenderfer:
Modeling Human Driving Behavior through Generative Adversarial Imitation Learning. CoRR abs/2006.06412 (2020)
2010 – 2019
- 2019
- [c3]Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning. ICRA 2019: 789-795 - [i2]Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning. CoRR abs/1903.05766 (2019) - 2018
- [c2]Raunak P. Bhattacharyya, Derek J. Phillips, Blake Wulfe, Jeremy Morton, Alex Kuefler, Mykel J. Kochenderfer:
Multi-Agent Imitation Learning for Driving Simulation. IROS 2018: 1534-1539 - [i1]Raunak P. Bhattacharyya, Derek J. Phillips, Blake Wulfe, Jeremy Morton, Alex Kuefler, Mykel J. Kochenderfer:
Multi-Agent Imitation Learning for Driving Simulation. CoRR abs/1803.01044 (2018) - 2016
- [c1]Amy R. Pritchett, Raunak P. Bhattacharyya:
Modeling the monitoring inherent within aviation function allocations. HCI-Aero 2016: 20:1-20:8
Coauthor Index
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