Sanjiban Choudhury

According to our database, Sanjiban Choudhury authored at least 70 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback.

Sanjiban Choudhury, Paloma Sodhi

CoRR, 2024

One-Shot Imitation under Mismatched Execution.

Kushal Kedia, Prithwish Dan, Sanjiban Choudhury

CoRR, 2024

Learning to Move Like Professional Counter-Strike Players.

David Durst, Feng Xie, Vishnu Sarukkai, Brennan Shacklett, Iuri Frosio, Chen Tessler, Joohwan Kim, Carly Taylor, Gilbert Bernstein, Sanjiban Choudhury, Pat Hanrahan, Kayvon Fatahalian

CoRR, 2024

MOSAIC: A Modular System for Assistive and Interactive Cooking.

Huaxiaoyue Wang, Kushal Kedia, Juntao Ren, Rahma Abdullah, Atiksh Bhardwaj, Angela Chao, Kelly Y. Chen, Nathaniel Chin, Prithwish Dan, Xinyi Fan, Gonzalo Gonzalez-Pumariega, Aditya Kompella, Maximus Adrian Pace, Yash Sharma, Xiangwan Sun, Neha Sunkara, Sanjiban Choudhury

CoRR, 2024

Accelerating Inverse Reinforcement Learning with Expert Bootstrapping.

David Wu, Sanjiban Choudhury

CoRR, 2024

UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations.

Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Li, Alane Suhr

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

InteRACT: Transformer Models for Human Intent Prediction Conditioned on Robot Actions.

Kushal Kedia, Atiksh Bhardwaj, Prithwish Dan, Sanjiban Choudhury

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Hybrid Inverse Reinforcement Learning.

Juntao Ren, Gokul Swamy, Steven Wu, Drew Bagnell, Sanjiban Choudhury

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

The blindfolded traveler's problem: A search framework for motion planning with contact estimates.

Brad Saund, Sanjiban Choudhury, Siddhartha S. Srinivasa, Dmitry Berenson

Int. J. Robotics Res., April, 2023

Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-Thought.

Huaxiaoyue Wang, Gonzalo Gonzalez-Pumariega, Yash Sharma, Sanjiban Choudhury

CoRR, 2023

Inverse Reinforcement Learning without Reinforcement Learning.

Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu

CoRR, 2023

Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-Thought.

Yuki Wang, Gonzalo Gonzalez-Pumariega, Yash Sharma, Sanjiban Choudhury

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Shared Safety Constraints from Multi-task Demonstrations.

Konwoo Kim, Gokul Swamy, Zuxin Liu, Ding Zhao, Sanjiban Choudhury, Zhiwei Steven Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Game-Theoretic Framework for Joint Forecasting and Planning.

Kushal Kedia, Prithwish Dan, Sanjiban Choudhury

IROS, 2023

GuILD: Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning.

Rosario Scalise, Aditya Mandalika, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms.

Anirudh Vemula, Yuda Song, Aarti Singh, Drew Bagnell, Sanjiban Choudhury

Proceedings of the International Conference on Machine Learning, 2023

Inverse Reinforcement Learning without Reinforcement Learning.

Gokul Swamy, David Wu, Sanjiban Choudhury, Drew Bagnell, Zhiwei Steven Wu

Proceedings of the International Conference on Machine Learning, 2023

Impossibly Good Experts and How to Follow Them.

Aaron Walsman, Muru Zhang, Sanjiban Choudhury, Dieter Fox, Ali Farhadi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

ManiCast: Collaborative Manipulation with Cost-Aware Human Forecasting.

Kushal Kedia, Prithwish Dan, Atiksh Bhardwaj, Sanjiban Choudhury

Proceedings of the Conference on Robot Learning, 2023

2022

Human-Scale Mobile Manipulation Using RoMan.

Chad C. Kessens, Matthew Kaplan, Trevor Rocks, Philip R. Osteen, John G. Rogers, Ethan Stump, Arnon Hurwitz, Jonathan Fink, Long Quang, Mark Gonzalez, Jaymit Patel, Michael Diblasi, Shiyani Patel, Matthew Weiker, Dilip Patel, Joseph Bowkett, Renaud Detry, Sisir Karumanchi, Larry H. Matthies, Joel Burdick, Yash Oza, Aditya Agarwal, Andrew Dornbush, Dhruv Saxena, Maxim Likhachev, Karl Schmeckpeper, Kostas Daniilidis, Ajinkya Kamat, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa

Field Robotics, March, 2022

Game-Theoretic Algorithms for Conditional Moment Matching.

Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu

CoRR, 2022

Expert Intervention Learning.

Jonathan C. Spencer, Sanjiban Choudhury, Matthew Barnes, Matthew Schmittle, Mung Chiang, Peter J. Ramadge, Siddhartha S. Srinivasa

Auton. Robots, 2022

Minimax Optimal Online Imitation Learning via Replay Estimation.

Gokul Swamy, Nived Rajaraman, Matthew Peng, Sanjiban Choudhury, J. Andrew Bagnell, Steven Wu, Jiantao Jiao, Kannan Ramchandran

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sequence Model Imitation Learning with Unobserved Contexts.

Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Uniformly Superhuman Autonomy via Subdominance Minimization.

Brian D. Ziebart, Sanjiban Choudhury, Xinyan Yan, Paul Vernaza

Proceedings of the International Conference on Machine Learning, 2022

Causal Imitation Learning under Temporally Correlated Noise.

Gokul Swamy, Sanjiban Choudhury, Drew Bagnell, Steven Wu

Proceedings of the International Conference on Machine Learning, 2022

2021

A Critique of Strictly Batch Imitation Learning.

Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu

CoRR, 2021

Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning.

Aditya Mandalika, Rosario Scalise, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa

CoRR, 2021

Learning Online from Corrective Feedback: A Meta-Algorithm for Robotics.

Matthew Schmittle, Sanjiban Choudhury, Siddhartha S. Srinivasa

CoRR, 2021

Of Moments and Matching: Trade-offs and Treatments in Imitation Learning.

Gokul Swamy, Sanjiban Choudhury, Zhiwei Steven Wu, J. Andrew Bagnell

CoRR, 2021

Feedback in Imitation Learning: The Three Regimes of Covariate Shift.

Jonathan C. Spencer, Sanjiban Choudhury, Arun Venkatraman, Brian D. Ziebart, J. Andrew Bagnell

CoRR, 2021

Leveraging experience in lazy search.

Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa

Auton. Robots, 2021

Imitation Learning as f-Divergence Minimization.

Liyiming Ke, Sanjiban Choudhury, Matt Barnes, Wen Sun, Gilwoo Lee, Siddhartha S. Srinivasa

Proceedings of the Algorithmic Foundations of Robotics XIV, 2021

Bayesian Residual Policy Optimization: : Scalable Bayesian Reinforcement Learning with Clairvoyant Experts.

Gilwoo Lee, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap.

Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Steven Wu

Proceedings of the 38th International Conference on Machine Learning, 2021

Blending MPC & Value Function Approximation for Efficient Reinforcement Learning.

Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Autonomous aerial cinematography in unstructured environments with learned artistic decision-making.

Rogerio Bonatti, Wenshan Wang, Cherie Ho, Aayush Ahuja, Mirko Gschwindt, Efe Camci, Erdal Kayacan, Sanjiban Choudhury, Sebastian A. Scherer

J. Field Robotics, 2020

Learning from Interventions: Human-robot interaction as both explicit and implicit feedback.

Jonathan C. Spencer, Sanjiban Choudhury, Matt Barnes, Matthew Schmittle, Mung Chiang, Peter J. Ramadge, Siddhartha S. Srinivasa

Proceedings of the Robotics: Science and Systems XVI, 2020

ICS: Incremental Constrained Smoothing for State Estimation.

Paloma Sodhi, Sanjiban Choudhury, Joshua G. Mangelson, Michael Kaess

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges.

Brian Hou, Sanjiban Choudhury, Gilwoo Lee, Aditya Mandalika, Siddhartha S. Srinivasa

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

High performance and safe flight of full-scale helicopters from takeoff to landing with an ensemble of planners.

Sanjiban Choudhury, Vishal Dugar, Silvio M. Maeta, Brian MacAllister, Sankalp Arora, Daniel Althoff, Sebastian A. Scherer

J. Field Robotics, 2019

MuSHR: A Low-Cost, Open-Source Robotic Racecar for Education and Research.

Siddhartha S. Srinivasa, Patrick Lancaster, Johan Michalove, Matt Schmittle, Colin Summers, Matthew Rockett, Joshua R. Smith, Sanjiban Choudhury, Christoforos I. Mavrogiannis, Fereshteh Sadeghi

CoRR, 2019

The Blindfolded Robot: A Bayesian Approach to Planning with Contact Feedback.

Brad Saund, Sanjiban Choudhury, Siddhartha S. Srinivasa, Dmitry Berenson

Proceedings of the Robotics Research, 2019

LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning.

Rahul Kumar, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Towards a Robust Aerial Cinematography Platform: Localizing and Tracking Moving Targets in Unstructured Environments.

Rogerio Bonatti, Cherie Ho, Wenshan Wang, Sanjiban Choudhury, Sebastian A. Scherer

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Bayesian Policy Optimization for Model Uncertainty.

Gilwoo Lee, Brian Hou, Aditya Mandalika, Jeongseok Lee, Sanjiban Choudhury, Siddhartha S. Srinivasa

Proceedings of the 7th International Conference on Learning Representations, 2019

Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-Based Toggles.

Aditya Mandalika, Sanjiban Choudhury, Oren Salzman, Siddhartha S. Srinivasa

Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

2018

Adaptive Motion Planning.

Sanjiban Choudhury

PhD thesis, 2018

Data-driven planning via imitation learning.

Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey

Int. J. Robotics Res., 2018

Bayes-CPACE: PAC Optimal Exploration in Continuous Space Bayes-Adaptive Markov Decision Processes.

Gilwoo Lee, Sanjiban Choudhury, Brian Hou, Siddhartha S. Srinivasa

CoRR, 2018

Hindsight is Only 50/50: Unsuitability of MDP based Approximate POMDP Solvers for Multi-resolution Information Gathering.

Sankalp Arora, Sanjiban Choudhury, Sebastian A. Scherer

CoRR, 2018

Autonomous Drone Cinematographer: Using Artistic Principles to Create Smooth, Safe, Occlusion-Free Trajectories for Aerial Filming.

Rogerio Bonatti, Yanfu Zhang, Sanjiban Choudhury, Wenshan Wang, Sebastian A. Scherer

Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Bayesian Active Edge Evaluation on Expensive Graphs.

Sanjiban Choudhury, Siddhartha S. Srinivasa, Sebastian A. Scherer

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Anytime Motion Planning on Large Dense Roadmaps with Expensive Edge Evaluations.

Shushman Choudhury, Oren Salzman, Sanjiban Choudhury, Christopher M. Dellin, Siddhartha S. Srinivasa

CoRR, 2017

Adaptive Information Gathering via Imitation Learning.

Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey

Proceedings of the Robotics: Science and Systems XIII, 2017

Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs.

Sanjiban Choudhury, Shervin Javdani, Siddhartha S. Srinivasa, Sebastian A. Scherer

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A Bayesian Active Learning Approach to Adaptive Motion Planning.

Sanjiban Choudhury, Siddhartha S. Srinivasa

Proceedings of the Robotics Research, The 18th International Symposium, 2017

A κITE in the wind: Smooth trajectory optimization in a moving reference frame.

Vishal Dugar, Sanjiban Choudhury, Sebastian A. Scherer

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Densification strategies for anytime motion planning over large dense roadmaps.

Shushman Choudhury, Oren Salzman, Sanjiban Choudhury, Siddhartha S. Srinivasa

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Learning to gather information via imitation.

Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Debadeepta Dey

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Learning Heuristic Search via Imitation.

Mohak Bhardwaj, Sanjiban Choudhury, Sebastian A. Scherer

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016

List prediction applied to motion planning.

Abhijeet Tallavajhula, Sanjiban Choudhury, Sebastian A. Scherer, Alonzo Kelly

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Regionally accelerated batch informed trees (RABIT*): A framework to integrate local information into optimal path planning.

Sanjiban Choudhury, Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa, Sebastian A. Scherer

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

Autonomous Exploration and Motion Planning for an Unmanned Aerial Vehicle Navigating Rivers.

Stephen Nuske, Sanjiban Choudhury, Sezal Jain, Andrew Chambers, Luke Yoder, Sebastian A. Scherer, Lyle Chamberlain, Hugh Cover, Sanjiv Singh

J. Field Robotics, 2015

Theoretical Limits of Speed and Resolution for Kinodynamic Planning in a Poisson Forest.

Sanjiban Choudhury, Sebastian A. Scherer, J. Andrew Bagnell

Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

The Dynamics Projection Filter (DPF) - real-time nonlinear trajectory optimization using projection operators.

Sanjiban Choudhury, Sebastian A. Scherer

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

The planner ensemble: Motion planning by executing diverse algorithms.

Sanjiban Choudhury, Sankalp Arora, Sebastian A. Scherer

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Emergency maneuver library - ensuring safe navigation in partially known environments.

Sankalp Arora, Sanjiban Choudhury, Daniel Althoff, Sebastian A. Scherer

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2013

Sparse Tangential Network (SPARTAN): Motion planning for micro aerial vehicles.

Hugh Cover, Sanjiban Choudhury, Sebastian A. Scherer, Sanjiv Singh

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

RRT*-AR: Sampling-based alternate routes planning with applications to autonomous emergency landing of a helicopter.

Sanjiban Choudhury, Sebastian A. Scherer, Sanjiv Singh

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013