Nakul Gopalan - RankMe

54 papers A* 8A 5Misc 2Journal 29Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Meanings and Measurements: Multi-Agent Probabilistic Grounding for Vision-Language Navigation. CoRR Swagat Padhan, Lakshya Jain, Bhavya Minesh Shah, Omkar Patil, Thao Nguyen, Nakul Gopalan
2026	J	`jnl`	PokeNet: Learning Kinematic Models of Articulated Objects from Human Observations. CoRR Anmol Gupta, Weiwei Gu, Omkar Patil, Jun Ki Lee, Nakul Gopalan
2026	J	`jnl`	StageCraft: Execution Aware Mitigation of Distractor and Obstruction Failures in VLA Models. CoRR Kartikay Pangaonkar, Prabin Kumar Rath, Omkar Patil, Nakul Gopalan
2026	J	`jnl`	You've Got a Golden Ticket: Improving Generative Robot Policies With A Single Noise Vector. CoRR Omkar Patil, Ondrej Biza, Thomas Weng, Karl Schmeckpeper, Wil Thomason, Xiaohan Zhang, Robin Walters, Nakul Gopalan, Sebastian Castro, Eric Rosen
2025	J	`jnl`	Compositional Instruction Following with Language Models and Reinforcement Learning. CoRR Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven James, Matthew C. Gombolay, Raymond J. Mooney, Benjamin Rosman
2025	J	`jnl`	Factorizing Diffusion Policies for Observation Modality Prioritization. CoRR Omkar Patil, Prabin Kumar Rath, Kartikay Pangaonkar, Eric Rosen, Nakul Gopalan
2025	J	`jnl`	Investigating strategies enabling novice users to teach plannable hierarchical tasks to robots. Int. J. Robotics Res. Nina Moorman, Aman Singh, Manisha Natarajan, Erin Hedlund-Botti, Mariah Schrum, Chuxuan Yang, Lakshmi Seelam, Matthew C. Gombolay, Nakul Gopalan
2025	J	`jnl`	Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects. CoRR Anmol Gupta, Weiwei Gu, Omkar Patil, Jun Ki Lee, Nakul Gopalan
2025	A*	`conf`	XMoP: Whole-Body Control Policy for Zero-Shot Cross-Embodiment Neural Motion Planning. ICRA Prabin Kumar Rath, Nakul Gopalan
2024	J	`jnl`	Composing Diffusion Policies for Few-shot Learning of Movement Trajectories. CoRR Omkar Patil, Anant Sah, Nakul Gopalan
2024	J	`jnl`	Compositional Instruction Following with Language Models and Reinforcement Learning. Trans. Mach. Learn. Res. Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven James, Matthew C. Gombolay, Raymond Mooney, Benjamin Rosman
2024	J	`jnl`	Continual Skill and Task Learning via Dialogue. CoRR Weiwei Gu, Suresh Kondepudi, Lixiao Huang, Nakul Gopalan
2024	A	`conf`	Hardware-Software Co-Design for Path Planning by Drones. IROS Ayushi Dube, Omkar Patil, Gian Singh, Nakul Gopalan, Sarma B. K. Vrudhula
2024	A*	`conf`	Interactive Visual Task Learning for Robots. AAAI Weiwei Gu, Anant Sah, Nakul Gopalan
2024	A*	`conf`	Interactive Visual Task Learning for Robots. AAAI Weiwei Gu, Anant Sah, Nakul Gopalan
2024	A	`conf`	Learning Temporally Composable Task Segmentations with Language. IROS Divyanshu Raj, Omkar Patil, Weiwei Gu, Chitta Baral, Nakul Gopalan
2024	J	`jnl`	XMoP: Whole-Body Control Policy for Zero-shot Cross-Embodiment Neural Motion Planning. CoRR Prabin Kumar Rath, Nakul Gopalan
2023	J	`jnl`	Explainable Artificial Intelligence: Evaluating the Objective and Subjective Impacts of xAI on Human-Agent Interaction. Int. J. Hum. Comput. Interact. Andrew Silva, Mariah Schrum, Erin Hedlund-Botti, Nakul Gopalan, Matthew C. Gombolay
2023	A	`conf`	Improved Inference of Human Intent by Combining Plan Recognition and Language Feedback. IROS Ifrah Idrees, Tian Yun, Naveen Sharma, Yunxin Deng, Nakul Gopalan, George Konidaris, Stefanie Tellex
2023	J	`jnl`	Improved Inference of Human Intent by Combining Plan Recognition and Language Feedback. CoRR Ifrah Idrees, Tian Yun, Naveen Sharma, Yunxin Deng, Nakul Gopalan, George Konidaris, Stefanie Tellex
2023	J	`jnl`	Interactive Visual Task Learning for Robots. CoRR Weiwei Gu, Anant Sah, Nakul Gopalan
2023	—	`conf`	Investigating the Impact of Experience on a User's Ability to Perform Hierarchical Abstraction. Robotics: Science and Systems Nina M. Moorman, Nakul Gopalan, Aman Singh, Erin Botti, Mariah Schrum, Chuxuan Yang, Lakshmi Seelam, Matthew C. Gombolay
2023	J	`jnl`	Language-Conditioned Change-point Detection to Identify Sub-Tasks in Robotics Domains. CoRR Divyanshu Raj, Chitta Baral, Nakul Gopalan
2023	J	`jnl`	Natural Language Specification of Reinforcement Learning Policies Through Differentiable Decision Trees. IEEE Robotics Autom. Lett. Pradyumna Tambwekar, Andrew Silva, Nakul Gopalan, Matthew C. Gombolay
2022	J	`jnl`	Affordance-based robot object retrieval. Auton. Robots Thao Nguyen, Nakul Gopalan, Roma Patel, Matt Corsaro, Ellie Pavlick, Stefanie Tellex
2022	J	`jnl`	LanCon-Learn: Learning With Language to Enable Generalization in Multi-Task Manipulation. IEEE Robotics Autom. Lett. Andrew Silva, Nina Moorman, William Silva, Zulfiqar Zaidi, Nakul Gopalan, Matthew C. Gombolay
2022	J	`jnl`	Learning Efficient Exploration through Human Seeded Rapidly-exploring Random Trees. CoRR Max Zuo, Logan Schick, Matthew C. Gombolay, Nakul Gopalan
2022	A*	`conf`	Machine Learning in Human-Robot Collaboration: Bridging the Gap. HRI Cynthia Matuszek, Harold Soh, Matthew C. Gombolay, Nakul Gopalan, Reid G. Simmons, Stefanos Nikolaidis
2022	—	`conf`	Negative Result for Learning from Demonstration: Challenges for End-Users Teaching Robots with Task And Motion Planning Abstractions. Robotics: Science and Systems Nakul Gopalan, Nina Moorman, Manisha Natarajan, Matthew C. Gombolay
2021	Misc	`conf`	"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer. CoRL Andrew Hundt, Aditya Murali, Priyanka Hubli, Ran Liu, Nakul Gopalan, Matthew C. Gombolay, Gregory D. Hager
2021	Misc	`conf`	Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions. CoRL Elias Stengel-Eskin, Andrew Hundt, Zhuohong He, Aditya Murali, Nakul Gopalan, Matthew C. Gombolay, Gregory D. Hager
2021	J	`jnl`	Interpretable Policy Specification and Synthesis through Natural Language and RL. CoRR Pradyumna Tambwekar, Andrew Silva, Nakul Gopalan, Matthew C. Gombolay
2021	J	`jnl`	Learning to Follow Language Instructions with Compositional Policies. CoRR Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven James, Matthew C. Gombolay, Benjamin Rosman
2020	A	`conf`	Building Plannable Representations with Mixed Reality. IROS Eric Rosen, Nishanth Kumar, Nakul Gopalan, Daniel Ullman, George Konidaris, Stefanie Tellex
2020	—	`—`	Learning to Ground Natural Language Instructions to Plans. Nakul Gopalan
2020	—	`conf`	Robot Object Retrieval with Contextual Natural Language Queries. Robotics: Science and Systems Thao Nguyen, Nakul Gopalan, Roma Patel, Matthew Corsaro, Ellie Pavlick, Stefanie Tellex
2020	J	`jnl`	Robot Object Retrieval with Contextual Natural Language Queries. CoRR Thao Nguyen, Nakul Gopalan, Roma Patel, Matt Corsaro, Ellie Pavlick, Stefanie Tellex
2020	J	`jnl`	Robots That Use Language. Annu. Rev. Control. Robotics Auton. Syst. Stefanie Tellex, Nakul Gopalan, Hadas Kress-Gazit, Cynthia Matuszek
2020	—	`conf`	Simultaneously Learning Transferable Symbols and Language Groundings from Perceptual Data for Instruction Following. Robotics: Science and Systems Nakul Gopalan, Eric Rosen, George Konidaris, Stefanie Tellex
2019	A*	`conf`	Flight, Camera, Action! Using Natural Language and Mixed Reality to Control a Drone. ICRA Baichuan Huang, Deniz Bayazit, Daniel Ullman, Nakul Gopalan, Stefanie Tellex
2019	A	`conf`	Grounding Language Attributes to Objects using Bayesian Eigenobjects. IROS Vanya Cohen, Benjamin Burchfiel, Thao Nguyen, Nakul Gopalan, Stefanie Tellex, George Dimitri Konidaris
2019	J	`jnl`	Grounding Language Attributes to Objects using Bayesian Eigenobjects. CoRR Vanya Cohen, Benjamin Burchfiel, Thao Nguyen, Nakul Gopalan, Stefanie Tellex, George Dimitri Konidaris
2019	J	`jnl`	Grounding natural language instructions to semantic goal representations for abstraction and generalization. Auton. Robots Dilip Arumugam, Siddharth Karamcheti, Nakul Gopalan, Edward C. Williams, Mina Rhee, Lawson L. S. Wong, Stefanie Tellex
2018	A*	`conf`	Learning to Parse Natural Language to Grounded Reward Functions with Weak Supervision. ICRA Edward C. Williams, Nakul Gopalan, Mina Rhee, Stefanie Tellex
2018	J	`jnl`	Mitigating Planner Overfitting in Model-Based Reinforcement Learning. CoRR Dilip Arumugam, David Abel, Kavosh Asadi, Nakul Gopalan, Christopher Grimm, Jun Ki Lee, Lucas Lehnert, Michael L. Littman
2018	—	`conf`	Planning Hierarchies and their Connections to Language. AAAI Spring Symposia Nakul Gopalan
2018	—	`conf`	Sequence-to-Sequence Language Grounding of Non-Markovian Task Specifications. Robotics: Science and Systems Nakul Gopalan, Dilip Arumugam, Lawson L. S. Wong, Stefanie Tellex
2017	—	`conf`	A Tale of Two DRAGGNs: A Hybrid Approach for Interpreting Action-Oriented and Goal-Oriented Instructions. RoboNLP@ACL Siddharth Karamcheti, Edward C. Williams, Dilip Arumugam, Mina Rhee, Nakul Gopalan, Lawson L. S. Wong, Stefanie Tellex
2017	J	`jnl`	A Tale of Two DRAGGNs: A Hybrid Approach for Interpreting Action-Oriented and Goal-Oriented Instructions. CoRR Siddharth Karamcheti, Edward C. Williams, Dilip Arumugam, Mina Rhee, Nakul Gopalan, Lawson L. S. Wong, Stefanie Tellex
2017	—	`conf`	Accurately and Efficiently Interpreting Human-Robot Instructions of Varying Granularities. Robotics: Science and Systems Dilip Arumugam, Siddharth Karamcheti, Nakul Gopalan, Lawson L. S. Wong, Stefanie Tellex
2017	J	`jnl`	Accurately and Efficiently Interpreting Human-Robot Instructions of Varying Granularities. CoRR Dilip Arumugam, Siddharth Karamcheti, Nakul Gopalan, Lawson L. S. Wong, Stefanie Tellex
2017	A*	`conf`	Planning with Abstract Markov Decision Processes. ICAPS Nakul Gopalan, Marie desJardins, Michael L. Littman, James MacGlashan, Shawn Squire, Stefanie Tellex, John Winder, Lawson L. S. Wong
2014	—	`conf`	Bayesian Gait Optimization for Bipedal Locomotion. LION Roberto Calandra, Nakul Gopalan, André Seyfarth, Jan Peters, Marc Peter Deisenroth
2013	A*	`conf`	Feedback error learning for rhythmic motor primitives. ICRA Nakul Gopalan, Marc Peter Deisenroth, Jan Peters