Sanjiban Choudhury

Orcid: 0000-0003-2762-8888

According to our database1, Sanjiban Choudhury authored at least 68 papers between 2013 and 2024.

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Bibliography

2024
MOSAIC: A Modular System for Assistive and Interactive Cooking.
CoRR, 2024

Hybrid Inverse Reinforcement Learning.
CoRR, 2024

Accelerating Inverse Reinforcement Learning with Expert Bootstrapping.
CoRR, 2024

2023
The blindfolded traveler's problem: A search framework for motion planning with contact estimates.
Int. J. Robotics Res., April, 2023

InteRACT: Transformer Models for Human Intent Prediction Conditioned on Robot Actions.
CoRR, 2023

UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations.
CoRR, 2023

Learning Shared Safety Constraints from Multi-task Demonstrations.
CoRR, 2023

Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-Thought.
CoRR, 2023

Inverse Reinforcement Learning without Reinforcement Learning.
CoRR, 2023

Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-Thought.
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.
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.
IROS, 2023

GuILD: Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms.
Proceedings of the International Conference on Machine Learning, 2023

Inverse Reinforcement Learning without Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023

Impossibly Good Experts and How to Follow Them.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

ManiCast: Collaborative Manipulation with Cost-Aware Human Forecasting.
Proceedings of the Conference on Robot Learning, 2023

2022
Human-Scale Mobile Manipulation Using RoMan.
Field Robotics, March, 2022

Game-Theoretic Algorithms for Conditional Moment Matching.
CoRR, 2022

Expert Intervention Learning.
Auton. Robots, 2022

Minimax Optimal Online Imitation Learning via Replay Estimation.
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.
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.
Proceedings of the International Conference on Machine Learning, 2022

Causal Imitation Learning under Temporally Correlated Noise.
Proceedings of the International Conference on Machine Learning, 2022

2021
A Critique of Strictly Batch Imitation Learning.
CoRR, 2021

Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning.
CoRR, 2021

Learning Online from Corrective Feedback: A Meta-Algorithm for Robotics.
CoRR, 2021

Of Moments and Matching: Trade-offs and Treatments in Imitation Learning.
CoRR, 2021

Feedback in Imitation Learning: The Three Regimes of Covariate Shift.
CoRR, 2021

Leveraging experience in lazy search.
Auton. Robots, 2021

Imitation Learning as f-Divergence Minimization.
Proceedings of the Algorithmic Foundations of Robotics XIV, 2021

Bayesian Residual Policy Optimization: : Scalable Bayesian Reinforcement Learning with Clairvoyant Experts.
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.
Proceedings of the 38th International Conference on Machine Learning, 2021

Blending MPC & Value Function Approximation for Efficient Reinforcement Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Autonomous aerial cinematography in unstructured environments with learned artistic decision-making.
J. Field Robotics, 2020

Learning from Interventions: Human-robot interaction as both explicit and implicit feedback.
Proceedings of the Robotics: Science and Systems XVI, 2020

ICS: Incremental Constrained Smoothing for State Estimation.
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.
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.
J. Field Robotics, 2019

MuSHR: A Low-Cost, Open-Source Robotic Racecar for Education and Research.
CoRR, 2019

The Blindfolded Robot: A Bayesian Approach to Planning with Contact Feedback.
Proceedings of the Robotics Research, 2019

LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning.
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.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Bayesian Policy Optimization for Model Uncertainty.
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.
Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

2018
Adaptive Motion Planning.
PhD thesis, 2018

Data-driven planning via imitation learning.
Int. J. Robotics Res., 2018

Bayes-CPACE: PAC Optimal Exploration in Continuous Space Bayes-Adaptive Markov Decision Processes.
CoRR, 2018

Hindsight is Only 50/50: Unsuitability of MDP based Approximate POMDP Solvers for Multi-resolution Information Gathering.
CoRR, 2018

Autonomous Drone Cinematographer: Using Artistic Principles to Create Smooth, Safe, Occlusion-Free Trajectories for Aerial Filming.
Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Bayesian Active Edge Evaluation on Expensive Graphs.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Anytime Motion Planning on Large Dense Roadmaps with Expensive Edge Evaluations.
CoRR, 2017

Adaptive Information Gathering via Imitation Learning.
Proceedings of the Robotics: Science and Systems XIII, 2017

Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs.
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.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

A κITE in the wind: Smooth trajectory optimization in a moving reference frame.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Densification strategies for anytime motion planning over large dense roadmaps.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Learning to gather information via imitation.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Learning Heuristic Search via Imitation.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016
List prediction applied to motion planning.
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.
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.
J. Field Robotics, 2015

Theoretical Limits of Speed and Resolution for Kinodynamic Planning in a Poisson Forest.
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.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

The planner ensemble: Motion planning by executing diverse algorithms.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Emergency maneuver library - ensuring safe navigation in partially known environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2013
Sparse Tangential Network (SPARTAN): Motion planning for micro aerial vehicles.
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.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013


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