Nakul Gopalan

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	Wszystkie	Od 2020
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i10-indeks	22	22

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Stefanie TellexBrown UniversityZweryfikowany adres z cs.brown.edu
Matthew GombolayAssociate Professor, Georgia Institute of TechnologyZweryfikowany adres z cc.gatech.edu
Lawson L.S. WongAssistant Professor, CCIS, Northeastern UniversityZweryfikowany adres z ccs.neu.edu
Dilip ArumugamPostdoctoral Research Associate - Princeton UniversityZweryfikowany adres z cs.princeton.edu
Andrew SilvaResearch Scientist, Toyota Research InstituteZweryfikowany adres z tri.global
Siddharth KaramchetiPhD Student - Stanford UniversityZweryfikowany adres z cs.stanford.edu
Cynthia MatuszekAssociate Professor, UMBCZweryfikowany adres z umbc.edu
George KonidarisBrownZweryfikowany adres z cs.brown.edu
Michael LittmanBrown UniversityZweryfikowany adres z brown.edu
James MacGlashanSony AIZweryfikowany adres z sony.com
Hadas Kress-GazitCornell UniversityZweryfikowany adres z cornell.edu
Marc DeisenrothUniversity College London and Google DeepMindZweryfikowany adres z ucl.ac.uk
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIZweryfikowany adres z ias.tu-darmstadt.de
Vanya CohenUniversity of Texas at AustinZweryfikowany adres z utexas.edu
Matt CorsaroPrincipal Machine Learning Scientist, Soft Robotics, Inc.Zweryfikowany adres z brown.edu
John WinderAI/ML Research Scientist (Senior Staff), Johns Hopkins University Applied Physics LaboratoryZweryfikowany adres z umbc.edu
Daniel UllmanPhD, Brown UniversityZweryfikowany adres z brown.edu
Eric RosenBoston Dynamics AI InstituteZweryfikowany adres z brown.edu
Thao NguyenAssistant Professor, Haverford CollegeZweryfikowany adres z haverford.edu

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Nakul Gopalan

Assistant Professor Arizona State University

Zweryfikowany adres z asu.edu - Strona główna

Robotics Natural Language Reinforcement Learning


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Robots that use language S Tellex, N Gopalan, H Kress-Gazit, C Matuszek Annual Review of Control, Robotics, and Autonomous Systems 3 (1), 25-55, 2020	300	2020
Bayesian gait optimization for bipedal locomotion R Calandra, N Gopalan, A Seyfarth, J Peters, MP Deisenroth Learning and Intelligent Optimization: 8th International Conference, Lion 8 …, 2014	104	2014
Explainable artificial intelligence: Evaluating the objective and subjective impacts of xai on human-agent interaction A Silva, M Schrum, E Hedlund-Botti, N Gopalan, M Gombolay International Journal of Human–Computer Interaction 39 (7), 1390-1404, 2023	86	2023
Learning to parse natural language to grounded reward functions with weak supervision EC Williams, N Gopalan, M Rhee, S Tellex 2018 ieee international conference on robotics and automation (icra), 4430-4436, 2018	75	2018
Sequence-to-Sequence Language Grounding of Non-Markovian Task Specifications. N Gopalan, D Arumugam, LLS Wong, S Tellex Robotics: Science and Systems 2018, 2018	74	2018
Planning with abstract Markov decision processes N Gopalan, M Littman, J MacGlashan, S Squire, S Tellex, J Winder, ... Proceedings of the International Conference on Automated Planning and …, 2017	69*	2017
Accurately and efficiently interpreting human-robot instructions of varying granularities D Arumugam, S Karamcheti, N Gopalan, LLS Wong, S Tellex arXiv preprint arXiv:1704.06616, 2017	69	2017
Robot object retrieval with contextual natural language queries T Nguyen, N Gopalan, R Patel, M Corsaro, E Pavlick, S Tellex arXiv preprint arXiv:2006.13253, 2020	58	2020
Flight, camera, action! using natural language and mixed reality to control a drone B Huang, D Bayazit, D Ullman, N Gopalan, S Tellex 2019 International conference on robotics and automation (ICRA), 6949-6956, 2019	42	2019
Simultaneously learning transferable symbols and language groundings from perceptual data for instruction following N Gopalan, E Rosen, GD Konidaris, S Tellex Robotics: Science and Systems XVI, 2020	37	2020
Lancon-learn: Learning with language to enable generalization in multi-task manipulation A Silva, N Moorman, W Silva, Z Zaidi, N Gopalan, M Gombolay IEEE Robotics and Automation Letters 7 (2), 1635-1642, 2021	36	2021
Grounding natural language instructions to semantic goal representations for abstraction and generalization D Arumugam, S Karamcheti, N Gopalan, EC Williams, M Rhee, LLS Wong, ... Autonomous Robots 43, 449-468, 2019	33	2019
Modeling and solving human-robot collaborative tasks using pomdps N Gopalan, S Tellex RSS Workshop on Model Learning for Human-Robot Communication 32 (4), 590-628, 2015	30	2015
Review of machine learning and artificial intelligence (ML/AI) for the pediatric neurologist GY Gombolay, N Gopalan, A Bernasconi, R Nabbout, JT Megerian, ... Pediatric neurology 141, 42-51, 2023	29	2023
Guiding multi-step rearrangement tasks with natural language instructions E Stengel-Eskin, A Hundt, Z He, A Murali, N Gopalan, M Gombolay, ... Conference on Robot Learning, 1486-1501, 2022	29	2022
A tale of two draggns: A hybrid approach for interpreting action-oriented and goal-oriented instructions S Karamcheti, EC Williams, D Arumugam, M Rhee, N Gopalan, LLS Wong, ... arXiv preprint arXiv:1707.08668, 2017	22	2017
Grounding language attributes to objects using bayesian eigenobjects V Cohen, B Burchfiel, T Nguyen, N Gopalan, S Tellex, G Konidaris 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019	21	2019
Mitigating planner overfitting in model-based reinforcement learning D Arumugam, D Abel, K Asadi, N Gopalan, C Grimm, JK Lee, L Lehnert, ... arXiv preprint arXiv:1812.01129, 2018	14	2018
Natural language specification of reinforcement learning policies through differentiable decision trees P Tambwekar, A Silva, N Gopalan, M Gombolay IEEE Robotics and Automation Letters 8 (6), 3621-3628, 2023	13	2023
Interpreting human-robot instructions S Tellex, D Arumugam, S Karamcheti, N Gopalan, LLS Wong US Patent 10,606,898, 2020	13	2020

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