Nakul Gopalan

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 36

Top Topics

Natural Language

Markov Decision Process

Plan Recognition

Reinforcement Learning

Top Venues

Robotics: Science and Systems

IEEE Robotics Autom. Lett.

Publications

Weiwei Gu, Anant Sah, Nakul Gopalan
Interactive Visual Task Learning for Robots. AAAI (2024)
Weiwei Gu, Anant Sah, Nakul Gopalan
Interactive Visual Task Learning for Robots. AAAI (2024)
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)
Weiwei Gu, Anant Sah, Nakul Gopalan
Interactive Visual Task Learning for Robots. CoRR (2023)
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)
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) (2023)
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) (2023)
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 (2023)
Divyanshu Raj, Chitta Baral, Nakul Gopalan
Language-Conditioned Change-point Detection to Identify Sub-Tasks in Robotics Domains. CoRR (2023)
Max Zuo, Logan Schick, Matthew C. Gombolay, Nakul Gopalan
Learning Efficient Exploration through Human Seeded Rapidly-exploring Random Trees. CoRR (2022)
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)
Thao Nguyen, Nakul Gopalan, Roma Patel, Matt Corsaro, Ellie Pavlick, Stefanie Tellex
Affordance-based robot object retrieval. Auton. Robots 46 (1) (2022)
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) (2022)
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)
Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven D. James, Matthew C. Gombolay, Benjamin Rosman
Learning to Follow Language Instructions with Compositional Policies. CoRR (2021)
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)
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)
Pradyumna Tambwekar, Andrew Silva, Nakul Gopalan, Matthew C. Gombolay
Interpretable Policy Specification and Synthesis through Natural Language and RL. CoRR (2021)
Eric Rosen, Nishanth Kumar, Nakul Gopalan, Daniel Ullman, George Konidaris, Stefanie Tellex
Building Plannable Representations with Mixed Reality. IROS (2020)
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)
Stefanie Tellex, Nakul Gopalan, Hadas Kress-Gazit, Cynthia Matuszek
Robots That Use Language. Annu. Rev. Control. Robotics Auton. Syst. 3 (2020)
Thao Nguyen, Nakul Gopalan, Roma Patel, Matt Corsaro, Ellie Pavlick, Stefanie Tellex
Robot Object Retrieval with Contextual Natural Language Queries. CoRR (2020)
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)
Vanya Cohen, Benjamin Burchfiel, Thao Nguyen, Nakul Gopalan, Stefanie Tellex, George Dimitri Konidaris
Grounding Language Attributes to Objects using Bayesian Eigenobjects. CoRR (2019)
Vanya Cohen, Benjamin Burchfiel, Thao Nguyen, Nakul Gopalan, Stefanie Tellex, George Dimitri Konidaris
Grounding Language Attributes to Objects using Bayesian Eigenobjects. IROS (2019)
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) (2019)
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)
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 (2018)
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)
Edward C. Williams, Nakul Gopalan, Mina Rhee, Stefanie Tellex
Learning to Parse Natural Language to Grounded Reward Functions with Weak Supervision. ICRA (2018)
Nakul Gopalan
Planning Hierarchies and their Connections to Language. AAAI Spring Symposia (2018)
Dilip Arumugam, Siddharth Karamcheti, Nakul Gopalan, Lawson L. S. Wong, Stefanie Tellex
Accurately and Efficiently Interpreting Human-Robot Instructions of Varying Granularities. CoRR (2017)
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)
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)
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)
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 (2017)
Roberto Calandra, Nakul Gopalan, André Seyfarth, Jan Peters, Marc Peter Deisenroth
Bayesian Gait Optimization for Bipedal Locomotion. LION (2014)
Nakul Gopalan, Marc Peter Deisenroth, Jan Peters
Feedback error learning for rhythmic motor primitives. ICRA (2013)