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ORCIDNakul Gopalan
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2020 – today
- 2024
[c23]Weiwei Gu, Anant Sah, Nakul Gopalan:
Interactive Visual Task Learning for Robots. AAAI 2024: 10297-10305- [c22]Weiwei Gu, Anant Sah, Nakul Gopalan:
Interactive Visual Task Learning for Robots. AAAI 2024: 23793-23795 - [c21]Divyanshu Raj, Omkar Patil, Weiwei Gu, Chitta Baral, Nakul Gopalan:
Learning Temporally Composable Task Segmentations with Language. IROS 2024: 5195-5202 - [c20]Ayushi Dube, Omkar Patil, Gian Singh, Nakul Gopalan, Sarma B. K. Vrudhula:
Hardware-Software Co-Design for Path Planning by Drones. IROS 2024: 8141-8146 - [i14]Weiwei Gu, Suresh Kondepudi, Lixiao Huang, Nakul Gopalan:
Continual Skill and Task Learning via Dialogue. CoRR abs/2409.03166 (2024) - [i13]Prabin Kumar Rath, Nakul Gopalan:
XMoP: Whole-Body Control Policy for Zero-shot Cross-Embodiment Neural Motion Planning. CoRR abs/2409.15585 (2024) - [i12]Omkar Patil, Anant Sah, Nakul Gopalan:
Composing Diffusion Policies for Few-shot Learning of Movement Trajectories. CoRR abs/2410.17479 (2024) - 2023
- [j6]Andrew Silva
, Mariah Schrum, Erin Hedlund-Botti, Nakul Gopalan, Matthew C. Gombolay:
Explainable Artificial Intelligence: Evaluating the Objective and Subjective Impacts of xAI on Human-Agent Interaction. Int. J. Hum. Comput. Interact. 39(7): 1390-1404 (2023) - [j5]Pradyumna Tambwekar, Andrew Silva, Nakul Gopalan, Matthew C. Gombolay:
Natural Language Specification of Reinforcement Learning Policies Through Differentiable Decision Trees. IEEE Robotics Autom. Lett. 8(6): 3621-3628 (2023) - [c19]Ifrah Idrees, Tian Yun, Naveen Sharma, Yunxin Deng, Nakul Gopalan, George Konidaris, Stefanie Tellex:
Improved Inference of Human Intent by Combining Plan Recognition and Language Feedback. IROS 2023: 7976-7983 - [c18]Nina M. Moorman, Nakul Gopalan, Aman Singh, Erin Botti, Mariah Schrum, Chuxuan Yang, Lakshmi Seelam, Matthew C. Gombolay:
Investigating the Impact of Experience on a User's Ability to Perform Hierarchical Abstraction. Robotics: Science and Systems 2023 - [i11]Divyanshu Raj, Chitta Baral, Nakul Gopalan:
Language-Conditioned Change-point Detection to Identify Sub-Tasks in Robotics Domains. CoRR abs/2309.00743 (2023) - [i10]Ifrah Idrees, Tian Yun, Naveen Sharma, Yunxin Deng, Nakul Gopalan, George Konidaris, Stefanie Tellex:
Improved Inference of Human Intent by Combining Plan Recognition and Language Feedback. CoRR abs/2310.02462 (2023) - [i9]Weiwei Gu, Anant Sah, Nakul Gopalan:
Interactive Visual Task Learning for Robots. CoRR abs/2312.13219 (2023) - 2022
- [j4]Thao Nguyen, Nakul Gopalan, Roma Patel, Matt Corsaro, Ellie Pavlick, Stefanie Tellex:
Affordance-based robot object retrieval. Auton. Robots 46(1): 83-98 (2022) - [j3]Andrew Silva, Nina Moorman, William Silva, Zulfiqar Zaidi, Nakul Gopalan, Matthew C. Gombolay:
LanCon-Learn: Learning With Language to Enable Generalization in Multi-Task Manipulation. IEEE Robotics Autom. Lett. 7(2): 1635-1642 (2022) - [c17]Cynthia Matuszek, Harold Soh, Matthew C. Gombolay, Nakul Gopalan, Reid G. Simmons, Stefanos Nikolaidis:
Machine Learning in Human-Robot Collaboration: Bridging the Gap. HRI 2022: 1275-1277 - [c16]Nakul Gopalan, Nina Moorman, Manisha Natarajan, Matthew C. Gombolay:
Negative Result for Learning from Demonstration: Challenges for End-Users Teaching Robots with Task And Motion Planning Abstractions. Robotics: Science and Systems 2022 - [i8]Max Zuo, Logan Schick, Matthew C. Gombolay, Nakul Gopalan:
Learning Efficient Exploration through Human Seeded Rapidly-exploring Random Trees. CoRR abs/2203.12774 (2022) - 2021
- [c15]Elias Stengel-Eskin, Andrew Hundt, Zhuohong He, Aditya Murali, Nakul Gopalan, Matthew C. Gombolay, Gregory D. Hager:
Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions. CoRL 2021: 1486-1501 - [c14]Andrew Hundt, Aditya Murali, Priyanka Hubli, Ran Liu, Nakul Gopalan, Matthew C. Gombolay, Gregory D. Hager:
"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer. CoRL 2021: 1564-1574 - [i7]Pradyumna Tambwekar, Andrew Silva, Nakul Gopalan, Matthew C. Gombolay:
Interpretable Policy Specification and Synthesis through Natural Language and RL. CoRR abs/2101.07140 (2021) - [i6]Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven James, Matthew C. Gombolay, Benjamin Rosman:
Learning to Follow Language Instructions with Compositional Policies. CoRR abs/2110.04647 (2021) - 2020
- [b1]Nakul Gopalan:
Learning to Ground Natural Language Instructions to Plans. Brown University, USA, 2020 - [j2]Stefanie Tellex, Nakul Gopalan, Hadas Kress-Gazit, Cynthia Matuszek:
Robots That Use Language. Annu. Rev. Control. Robotics Auton. Syst. 3: 25-55 (2020) - [c13]Eric Rosen, Nishanth Kumar, Nakul Gopalan, Daniel Ullman, George Konidaris, Stefanie Tellex:
Building Plannable Representations with Mixed Reality. IROS 2020: 11146-11153 - [c12]Nakul Gopalan, Eric Rosen, George Konidaris, Stefanie Tellex:
Simultaneously Learning Transferable Symbols and Language Groundings from Perceptual Data for Instruction Following. Robotics: Science and Systems 2020 - [c11]Thao Nguyen, Nakul Gopalan, Roma Patel, Matthew Corsaro, Ellie Pavlick, Stefanie Tellex:
Robot Object Retrieval with Contextual Natural Language Queries. Robotics: Science and Systems 2020 - [i5]Thao Nguyen, Nakul Gopalan, Roma Patel, Matt Corsaro, Ellie Pavlick, Stefanie Tellex:
Robot Object Retrieval with Contextual Natural Language Queries. CoRR abs/2006.13253 (2020)
2010 – 2019
- 2019
- [j1]Dilip Arumugam, Siddharth Karamcheti, Nakul Gopalan, Edward C. Williams, Mina Rhee, Lawson L. S. Wong, Stefanie Tellex:
Grounding natural language instructions to semantic goal representations for abstraction and generalization. Auton. Robots 43(2): 449-468 (2019) - [c10]Baichuan Huang, Deniz Bayazit, Daniel Ullman, Nakul Gopalan, Stefanie Tellex:
Flight, Camera, Action! Using Natural Language and Mixed Reality to Control a Drone. ICRA 2019: 6949-6956 - [c9]Vanya Cohen, Benjamin Burchfiel, Thao Nguyen, Nakul Gopalan, Stefanie Tellex, George Dimitri Konidaris:
Grounding Language Attributes to Objects using Bayesian Eigenobjects. IROS 2019: 1187-1194 - [i4]Vanya Cohen, Benjamin Burchfiel, Thao Nguyen, Nakul Gopalan, Stefanie Tellex, George Dimitri Konidaris:
Grounding Language Attributes to Objects using Bayesian Eigenobjects. CoRR abs/1905.13153 (2019) - 2018
- [c8]Nakul Gopalan:
Planning Hierarchies and their Connections to Language. AAAI Spring Symposia 2018 - [c7]Edward C. Williams, Nakul Gopalan, Mina Rhee, Stefanie Tellex:
Learning to Parse Natural Language to Grounded Reward Functions with Weak Supervision. ICRA 2018: 1-7 - [c6]Nakul Gopalan, Dilip Arumugam, Lawson L. S. Wong, Stefanie Tellex:
Sequence-to-Sequence Language Grounding of Non-Markovian Task Specifications. Robotics: Science and Systems 2018 - [i3]Dilip Arumugam, David Abel, Kavosh Asadi, Nakul Gopalan, Christopher Grimm, Jun Ki Lee, Lucas Lehnert, Michael L. Littman:
Mitigating Planner Overfitting in Model-Based Reinforcement Learning. CoRR abs/1812.01129 (2018) - 2017
- [c5]Siddharth Karamcheti, Edward C. Williams, Dilip Arumugam, Mina Rhee, Nakul Gopalan, Lawson L. S. Wong, Stefanie Tellex:
A Tale of Two DRAGGNs: A Hybrid Approach for Interpreting Action-Oriented and Goal-Oriented Instructions. RoboNLP@ACL 2017: 67-75 - [c4]Nakul Gopalan, Marie desJardins, Michael L. Littman, James MacGlashan, Shawn Squire, Stefanie Tellex, John Winder, Lawson L. S. Wong:
Planning with Abstract Markov Decision Processes. ICAPS 2017: 480-488 - [c3]Dilip Arumugam, Siddharth Karamcheti, Nakul Gopalan, Lawson L. S. Wong, Stefanie Tellex:
Accurately and Efficiently Interpreting Human-Robot Instructions of Varying Granularities. Robotics: Science and Systems 2017 - [i2]Dilip Arumugam, Siddharth Karamcheti, Nakul Gopalan, Lawson L. S. Wong, Stefanie Tellex:
Accurately and Efficiently Interpreting Human-Robot Instructions of Varying Granularities. CoRR abs/1704.06616 (2017) - [i1]Siddharth Karamcheti, Edward C. Williams, Dilip Arumugam, Mina Rhee, Nakul Gopalan, Lawson L. S. Wong, Stefanie Tellex:
A Tale of Two DRAGGNs: A Hybrid Approach for Interpreting Action-Oriented and Goal-Oriented Instructions. CoRR abs/1707.08668 (2017) - 2014
- [c2]Roberto Calandra, Nakul Gopalan, André Seyfarth, Jan Peters, Marc Peter Deisenroth:
Bayesian Gait Optimization for Bipedal Locomotion. LION 2014: 274-290 - 2013
- [c1]Nakul Gopalan, Marc Peter Deisenroth, Jan Peters:
Feedback error learning for rhythmic motor primitives. ICRA 2013: 1317-1322
Coauthor Index
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