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ORCIDSanjiban Choudhury
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2020 – today
- 2025
[i56]David Wu, Sanjiban Choudhury:
Aligning LLMs with Domain Invariant Reward Models. CoRR abs/2501.00911 (2025)- [i55]Juntao Ren, Priya Sundaresan, Dorsa Sadigh, Sanjiban Choudhury, Jeannette Bohg:
Motion Tracks: A Unified Representation for Human-Robot Transfer in Few-Shot Imitation Learning. CoRR abs/2501.06994 (2025) - [i54]Gonzalo Gonzalez-Pumariega, Leong Su Yean, Neha Sunkara, Sanjiban Choudhury:
Robotouille: An Asynchronous Planning Benchmark for LLM Agents. CoRR abs/2502.05227 (2025) - [i53]William Huey, Huaxiaoyue Wang, Anne Wu, Yoav Artzi, Sanjiban Choudhury:
Imitation Learning from a Single Temporally Misaligned Video. CoRR abs/2502.05397 (2025) - [i52]Sanjiban Choudhury:
Process Reward Models for LLM Agents: Practical Framework and Directions. CoRR abs/2502.10325 (2025) - [i51]Arnav Kumar Jain, Gonzalo Gonzalez-Pumariega, Wayne Chen, Alexander M. Rush, Wenting Zhao, Sanjiban Choudhury:
Multi-Turn Code Generation Through Single-Step Rewards. CoRR abs/2502.20380 (2025) - [i50]Gokul Swamy, Sanjiban Choudhury, Wen Sun, Zhiwei Steven Wu, J. Andrew Bagnell:
All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning. CoRR abs/2503.01067 (2025) - [i49]Nicolas A. Espinosa Dice, Sanjiban Choudhury, Wen Sun, Gokul Swamy:
Efficient Imitation under Misspecification. CoRR abs/2503.13162 (2025) - 2024
- [j9]David Durst
, Feng Xie, Vishnu Sarukkai, Brennan Shacklett, Iuri Frosio, Chen Tessler, Joohwan Kim, Carly Taylor, Gilbert Louis Bernstein, Sanjiban Choudhury, Pat Hanrahan, Kayvon Fatahalian:
Learning to Move Like Professional Counter-Strike Players. Comput. Graph. Forum 43(8): i-ix (2024) - [c47]Huaxiaoyue Wang, Nathaniel Chin, Gonzalo Gonzalez-Pumariega, Xiangwan Sun, Neha Sunkara, Maximus Adrian Pace, Jeannette Bohg, Sanjiban Choudhury:
APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs. CoRL 2024: 1590-1642 - [c46]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:
MOSAIC: Modular Foundation Models for Assistive and Interactive Cooking. CoRL 2024: 2220-2294 - [c45]Juntao Ren, Gokul Swamy, Steven Wu, Drew Bagnell, Sanjiban Choudhury:
Hybrid Inverse Reinforcement Learning. ICML 2024 - [c44]Kushal Kedia, Atiksh Bhardwaj, Prithwish Dan, Sanjiban Choudhury:
InteRACT: Transformer Models for Human Intent Prediction Conditioned on Robot Actions. ICRA 2024: 621-628 - [c43]Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Li, Alane Suhr:
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. NAACL-HLT 2024: 8487-8505 - [i48]David Wu, Sanjiban Choudhury:
Accelerating Inverse Reinforcement Learning with Expert Bootstrapping. CoRR abs/2402.02608 (2024) - [i47]Juntao Ren, Gokul Swamy, Zhiwei Steven Wu, J. Andrew Bagnell, Sanjiban Choudhury:
Hybrid Inverse Reinforcement Learning. CoRR abs/2402.08848 (2024) - [i46]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:
MOSAIC: A Modular System for Assistive and Interactive Cooking. CoRR abs/2402.18796 (2024) - [i45]David Durst, Feng Xie, Vishnu Sarukkai, Brennan Shacklett, Iuri Frosio, Chen Tessler, Joohwan Kim, Carly Taylor, Gilbert Bernstein, Sanjiban Choudhury, Pat Hanrahan, Kayvon Fatahalian:
Learning to Move Like Professional Counter-Strike Players. CoRR abs/2408.13934 (2024) - [i44]Kushal Kedia, Prithwish Dan, Sanjiban Choudhury:
One-Shot Imitation under Mismatched Execution. CoRR abs/2409.06615 (2024) - [i43]Sanjiban Choudhury, Paloma Sodhi:
Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback. CoRR abs/2410.05434 (2024) - [i42]Huaxiaoyue Wang, Nathaniel Chin, Gonzalo Gonzalez-Pumariega, Xiangwan Sun, Neha Sunkara, Maximus Adrian Pace, Jeannette Bohg, Sanjiban Choudhury:
APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs. CoRR abs/2410.19656 (2024) - [i41]Arnav Kumar Jain, Harley Wiltzer, Jesse Farebrother, Irina Rish, Glen Berseth, Sanjiban Choudhury:
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching. CoRR abs/2411.07007 (2024) - [i40]Gonzalo Gonzalez-Pumariega, Wayne Chen, Kushal Kedia, Sanjiban Choudhury:
Query-Efficient Planning with Language Models. CoRR abs/2412.06162 (2024) - 2023
- [j8]Brad Saund, Sanjiban Choudhury, Siddhartha S. Srinivasa, Dmitry Berenson:
The blindfolded traveler's problem: A search framework for motion planning with contact estimates. Int. J. Robotics Res. 42(4-5): 289-309 (2023) - [c42]Kushal Kedia, Prithwish Dan, Atiksh Bhardwaj, Sanjiban Choudhury:
ManiCast: Collaborative Manipulation with Cost-Aware Human Forecasting. CoRL 2023: 1050-1067 - [c41]Aaron Walsman, Muru Zhang, Sanjiban Choudhury, Dieter Fox, Ali Farhadi:
Impossibly Good Experts and How to Follow Them. ICLR 2023 - [c40]Gokul Swamy, David Wu, Sanjiban Choudhury, Drew Bagnell, Zhiwei Steven Wu:
Inverse Reinforcement Learning without Reinforcement Learning. ICML 2023: 33299-33318 - [c39]Anirudh Vemula, Yuda Song, Aarti Singh, Drew Bagnell, Sanjiban Choudhury:
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms. ICML 2023: 34978-35005 - [c38]Rosario Scalise, Aditya Mandalika, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa:
GuILD: Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. ICRA 2023: 10212-10218 - [c37]Kushal Kedia, Prithwish Dan, Sanjiban Choudhury:
A Game-Theoretic Framework for Joint Forecasting and Planning. IROS 2023: 6773-6778 - [c36]Konwoo Kim, Gokul Swamy, Zuxin Liu, Ding Zhao, Sanjiban Choudhury, Zhiwei Steven Wu:
Learning Shared Safety Constraints from Multi-task Demonstrations. NeurIPS 2023 - [c35]Yuki Wang, Gonzalo Gonzalez-Pumariega, Yash Sharma, Sanjiban Choudhury:
Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-Thought. NeurIPS 2023 - [i39]Anirudh Vemula, Yuda Song, Aarti Singh, J. Andrew Bagnell, Sanjiban Choudhury:
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms. CoRR abs/2303.00694 (2023) - [i38]Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu:
Inverse Reinforcement Learning without Reinforcement Learning. CoRR abs/2303.14623 (2023) - [i37]Huaxiaoyue Wang, Gonzalo Gonzalez-Pumariega, Yash Sharma, Sanjiban Choudhury:
Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-Thought. CoRR abs/2305.16744 (2023) - [i36]Kushal Kedia, Prithwish Dan, Sanjiban Choudhury:
A Game-Theoretic Framework for Joint Forecasting and Planning. CoRR abs/2308.06137 (2023) - [i35]Konwoo Kim, Gokul Swamy, Zuxin Liu, Ding Zhao, Sanjiban Choudhury, Zhiwei Steven Wu:
Learning Shared Safety Constraints from Multi-task Demonstrations. CoRR abs/2309.00711 (2023) - [i34]Kushal Kedia, Prithwish Dan, Atiksh Bhardwaj, Sanjiban Choudhury:
ManiCast: Collaborative Manipulation with Cost-Aware Human Forecasting. CoRR abs/2310.13258 (2023) - [i33]Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Lorraine Li, Alane Suhr:
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. CoRR abs/2311.08469 (2023) - [i32]Kushal Kedia, Atiksh Bhardwaj, Prithwish Dan, Sanjiban Choudhury:
InteRACT: Transformer Models for Human Intent Prediction Conditioned on Robot Actions. CoRR abs/2311.12943 (2023) - 2022
- [j7]Jonathan C. Spencer, Sanjiban Choudhury, Matthew Barnes, Matthew Schmittle, Mung Chiang, Peter J. Ramadge, Siddhartha S. Srinivasa:
Expert Intervention Learning. Auton. Robots 46(1): 99-113 (2022) - [j6]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:
Human-Scale Mobile Manipulation Using RoMan. Field Robotics 2(1): 1232-1262 (2022) - [c34]Gokul Swamy, Sanjiban Choudhury, Drew Bagnell, Steven Wu:
Causal Imitation Learning under Temporally Correlated Noise. ICML 2022: 20877-20890 - [c33]Brian D. Ziebart, Sanjiban Choudhury, Xinyan Yan, Paul Vernaza:
Towards Uniformly Superhuman Autonomy via Subdominance Minimization. ICML 2022: 27654-27670 - [c32]Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu:
Sequence Model Imitation Learning with Unobserved Contexts. NeurIPS 2022 - [c31]Gokul Swamy, Nived Rajaraman, Matthew Peng, Sanjiban Choudhury, J. Andrew Bagnell, Steven Wu, Jiantao Jiao, Kannan Ramchandran:
Minimax Optimal Online Imitation Learning via Replay Estimation. NeurIPS 2022 - [i31]Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu:
Causal Imitation Learning under Temporally Correlated Noise. CoRR abs/2202.01312 (2022) - [i30]Gokul Swamy, Nived Rajaraman, Matthew Peng, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu, Jiantao Jiao, Kannan Ramchandran:
Minimax Optimal Online Imitation Learning via Replay Estimation. CoRR abs/2205.15397 (2022) - [i29]Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu:
Sequence Model Imitation Learning with Unobserved Contexts. CoRR abs/2208.02225 (2022) - [i28]Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu:
Game-Theoretic Algorithms for Conditional Moment Matching. CoRR abs/2208.09551 (2022) - 2021
- [j5]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa:
Leveraging experience in lazy search. Auton. Robots 45(7): 979-996 (2021) - [c30]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots:
Blending MPC & Value Function Approximation for Efficient Reinforcement Learning. ICLR 2021 - [c29]Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Steven Wu:
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap. ICML 2021: 10022-10032 - [c28]Gilwoo Lee, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Bayesian Residual Policy Optimization: : Scalable Bayesian Reinforcement Learning with Clairvoyant Experts. IROS 2021: 5611-5618 - [c27]Liyiming Ke, Sanjiban Choudhury, Matt Barnes, Wen Sun, Gilwoo Lee, Siddhartha S. Srinivasa:
Imitation Learning as f-Divergence Minimization. WAFR 2021: 313-329 - [i27]Jonathan C. Spencer, Sanjiban Choudhury, Arun Venkatraman, Brian D. Ziebart, J. Andrew Bagnell:
Feedback in Imitation Learning: The Three Regimes of Covariate Shift. CoRR abs/2102.02872 (2021) - [i26]Gokul Swamy, Sanjiban Choudhury, Zhiwei Steven Wu, J. Andrew Bagnell:
Of Moments and Matching: Trade-offs and Treatments in Imitation Learning. CoRR abs/2103.03236 (2021) - [i25]Matthew Schmittle, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Learning Online from Corrective Feedback: A Meta-Algorithm for Robotics. CoRR abs/2104.01021 (2021) - [i24]Aditya Mandalika, Rosario Scalise, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. CoRR abs/2104.05037 (2021) - [i23]Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu:
A Critique of Strictly Batch Imitation Learning. CoRR abs/2110.02063 (2021) - [i22]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa:
Leveraging Experience in Lazy Search. CoRR abs/2110.04669 (2021) - 2020
- [j4]Rogerio Bonatti, Wenshan Wang, Cherie Ho, Aayush Ahuja, Mirko Gschwindt, Efe Camci, Erdal Kayacan, Sanjiban Choudhury, Sebastian A. Scherer:
Autonomous aerial cinematography in unstructured environments with learned artistic decision-making. J. Field Robotics 37(4): 606-641 (2020) - [c26]Paloma Sodhi, Sanjiban Choudhury, Joshua G. Mangelson, Michael Kaess:
ICS: Incremental Constrained Smoothing for State Estimation. ICRA 2020: 279-285 - [c25]Brian Hou, Sanjiban Choudhury, Gilwoo Lee, Aditya Mandalika, Siddhartha S. Srinivasa:
Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges. ICRA 2020: 4266-4272 - [c24]Jonathan C. Spencer, Sanjiban Choudhury, Matt Barnes, Matthew Schmittle, Mung Chiang, Peter J. Ramadge, Siddhartha S. Srinivasa:
Learning from Interventions: Human-robot interaction as both explicit and implicit feedback. Robotics: Science and Systems 2020 - [i21]Gilwoo Lee, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts. CoRR abs/2002.03042 (2020) - [i20]Brian Hou, Sanjiban Choudhury, Gilwoo Lee, Aditya Mandalika, Siddhartha S. Srinivasa:
Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges. CoRR abs/2002.11853 (2020) - [i19]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots:
Blending MPC & Value Function Approximation for Efficient Reinforcement Learning. CoRR abs/2012.05909 (2020)
2010 – 2019
- 2019
- [j3]Sanjiban Choudhury, Vishal Dugar, Silvio M. Maeta, Brian MacAllister, Sankalp Arora, Daniel Althoff, Sebastian A. Scherer:
High performance and safe flight of full-scale helicopters from takeoff to landing with an ensemble of planners. J. Field Robotics 36(8): 1275-1332 (2019) - [c23]Aditya Mandalika, Sanjiban Choudhury, Oren Salzman, Siddhartha S. Srinivasa:
Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-Based Toggles. ICAPS 2019: 745-753 - [c22]Gilwoo Lee, Brian Hou, Aditya Mandalika, Jeongseok Lee, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Bayesian Policy Optimization for Model Uncertainty. ICLR (Poster) 2019 - [c21]Rogerio Bonatti, Cherie Ho, Wenshan Wang, Sanjiban Choudhury, Sebastian A. Scherer:
Towards a Robust Aerial Cinematography Platform: Localizing and Tracking Moving Targets in Unstructured Environments. IROS 2019: 229-236 - [c20]Rahul Kumar, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa:
LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning. IROS 2019: 1488-1495 - [c19]Brad Saund, Sanjiban Choudhury, Siddhartha S. Srinivasa, Dmitry Berenson:
The Blindfolded Robot: A Bayesian Approach to Planning with Contact Feedback. ISRR 2019: 443-459 - [c18]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa:
Leveraging Experience in Lazy Search. Robotics: Science and Systems 2019 - [i18]Rogerio Bonatti, Cherie Ho, Wenshan Wang, Sanjiban Choudhury, Sebastian A. Scherer:
Towards a Robust Aerial Cinematography Platform: Localizing and Tracking Moving Targets in Unstructured Environments. CoRR abs/1904.02319 (2019) - [i17]Aditya Mandalika, Sanjiban Choudhury, Oren Salzman, Siddhartha S. Srinivasa:
Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-based Toggles. CoRR abs/1904.02795 (2019) - [i16]Liyiming Ke, Matt Barnes, Wen Sun, Gilwoo Lee, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Imitation Learning as f-Divergence Minimization. CoRR abs/1905.12888 (2019) - [i15]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa:
Leveraging Experience in Lazy Search. CoRR abs/1907.07238 (2019) - [i14]Rahul Kumar, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa:
LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning. CoRR abs/1907.09574 (2019) - [i13]Siddhartha S. Srinivasa, Patrick Lancaster, Johan Michalove, Matt Schmittle, Colin Summers, Matthew Rockett, Joshua R. Smith, Sanjiban Choudhury, Christoforos I. Mavrogiannis, Fereshteh Sadeghi:
MuSHR: A Low-Cost, Open-Source Robotic Racecar for Education and Research. CoRR abs/1908.08031 (2019) - [i12]Rogerio Bonatti, Wenshan Wang, Cherie Ho, Aayush Ahuja, Mirko Gschwindt, Efe Camci, Erdal Kayacan, Sanjiban Choudhury, Sebastian A. Scherer:
Autonomous Aerial Cinematography In Unstructured Environments With Learned Artistic Decision-Making. CoRR abs/1910.06988 (2019) - 2018
- [b1]Sanjiban Choudhury:
Adaptive Motion Planning. Carnegie Mellon University, USA, 2018 - [j2]Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey:
Data-driven planning via imitation learning. Int. J. Robotics Res. 37(13-14) (2018) - [c17]Sanjiban Choudhury, Siddhartha S. Srinivasa, Sebastian A. Scherer:
Bayesian Active Edge Evaluation on Expensive Graphs. IJCAI 2018: 4890-4897 - [c16]Rogerio Bonatti, Yanfu Zhang, Sanjiban Choudhury, Wenshan Wang, Sebastian A. Scherer:
Autonomous Drone Cinematographer: Using Artistic Principles to Create Smooth, Safe, Occlusion-Free Trajectories for Aerial Filming. ISER 2018: 119-129 - [i11]Sankalp Arora, Sanjiban Choudhury, Sebastian A. Scherer:
Hindsight is Only 50/50: Unsuitability of MDP based Approximate POMDP Solvers for Multi-resolution Information Gathering. CoRR abs/1804.02573 (2018) - [i10]Rogerio Bonatti, Yanfu Zhang, Sanjiban Choudhury, Wenshan Wang, Sebastian A. Scherer:
Autonomous drone cinematographer: Using artistic principles to create smooth, safe, occlusion-free trajectories for aerial filming. CoRR abs/1808.09563 (2018) - [i9]Gilwoo Lee, Sanjiban Choudhury, Brian Hou, Siddhartha S. Srinivasa:
Bayes-CPACE: PAC Optimal Exploration in Continuous Space Bayes-Adaptive Markov Decision Processes. CoRR abs/1810.03048 (2018) - 2017
- [c15]Mohak Bhardwaj, Sanjiban Choudhury, Sebastian A. Scherer:
Learning Heuristic Search via Imitation. CoRL 2017: 271-280 - [c14]Vishal Dugar, Sanjiban Choudhury, Sebastian A. Scherer:
A κITE in the wind: Smooth trajectory optimization in a moving reference frame. ICRA 2017: 109-116 - [c13]Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Debadeepta Dey:
Learning to gather information via imitation. ICRA 2017: 908-915 - [c12]Shushman Choudhury, Oren Salzman, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Densification strategies for anytime motion planning over large dense roadmaps. ICRA 2017: 3770-3777 - [c11]Sanjiban Choudhury, Siddhartha S. Srinivasa:
A Bayesian Active Learning Approach to Adaptive Motion Planning. ISRR 2017: 33-40 - [c10]Sanjiban Choudhury, Shervin Javdani, Siddhartha S. Srinivasa, Sebastian A. Scherer:
Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs. NIPS 2017: 4631-4641 - [c9]Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey:
Adaptive Information Gathering via Imitation Learning. Robotics: Science and Systems 2017 - [i8]Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey:
Adaptive Information Gathering via Imitation Learning. CoRR abs/1705.07834 (2017) - [i7]Sanjiban Choudhury, Shervin Javdani, Siddhartha S. Srinivasa, Sebastian A. Scherer:
Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs. CoRR abs/1706.09351 (2017) - [i6]Mohak Bhardwaj, Sanjiban Choudhury, Sebastian A. Scherer:
Learning Heuristic Search via Imitation. CoRR abs/1707.03034 (2017) - [i5]Shushman Choudhury, Oren Salzman, Sanjiban Choudhury, Christopher M. Dellin, Siddhartha S. Srinivasa:
Anytime Motion Planning on Large Dense Roadmaps with Expensive Edge Evaluations. CoRR abs/1711.04040 (2017) - [i4]Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey:
Data-driven Planning via Imitation Learning. CoRR abs/1711.06391 (2017) - [i3]Sanjiban Choudhury, Siddhartha S. Srinivasa, Sebastian A. Scherer:
Bayesian Active Edge Evaluation on Expensive Graphs. CoRR abs/1711.07329 (2017) - 2016
- [c8]Abhijeet Tallavajhula, Sanjiban Choudhury, Sebastian A. Scherer, Alonzo Kelly:
List prediction applied to motion planning. ICRA 2016: 213-220 - [c7]Sanjiban Choudhury, Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa, Sebastian A. Scherer:
Regionally accelerated batch informed trees (RABIT*): A framework to integrate local information into optimal path planning. ICRA 2016: 4207-4214 - [i2]Shushman Choudhury, Oren Salzman, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Densification Strategies for Anytime Motion Planning over Large Dense Roadmaps. CoRR abs/1611.00111 (2016) - [i1]Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Debadeepta Dey:
Learning to Gather Information via Imitation. CoRR abs/1611.04180 (2016) - 2015
- [j1]Stephen Nuske, Sanjiban Choudhury, Sezal Jain, Andrew Chambers, Luke Yoder, Sebastian A. Scherer, Lyle Chamberlain, Hugh Cover, Sanjiv Singh:
Autonomous Exploration and Motion Planning for an Unmanned Aerial Vehicle Navigating Rivers. J. Field Robotics 32(8): 1141-1162 (2015) - [c6]Sanjiban Choudhury, Sebastian A. Scherer:
The Dynamics Projection Filter (DPF) - real-time nonlinear trajectory optimization using projection operators. ICRA 2015: 644-649 - [c5]Sanjiban Choudhury, Sankalp Arora, Sebastian A. Scherer:
The planner ensemble: Motion planning by executing diverse algorithms. ICRA 2015: 2389-2395 - [c4]Sankalp Arora, Sanjiban Choudhury, Daniel Althoff, Sebastian A. Scherer:
Emergency maneuver library - ensuring safe navigation in partially known environments. ICRA 2015: 6431-6438 - [c3]Sanjiban Choudhury, Sebastian A. Scherer, J. Andrew Bagnell:
Theoretical Limits of Speed and Resolution for Kinodynamic Planning in a Poisson Forest. Robotics: Science and Systems 2015 - 2013
- [c2]Hugh Cover, Sanjiban Choudhury, Sebastian A. Scherer, Sanjiv Singh:
Sparse Tangential Network (SPARTAN): Motion planning for micro aerial vehicles. ICRA 2013: 2820-2825 - [c1]Sanjiban Choudhury, Sebastian A. Scherer, Sanjiv Singh:
RRT*-AR: Sampling-based alternate routes planning with applications to autonomous emergency landing of a helicopter. ICRA 2013: 3947-3952
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2025-04-15 21:19 CEST by the dblp team
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