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Verbal communication plays a crucial role in human cooperation, particularly when the partners only have incomplete information about the task, environment, and each other's mental state.
H. H. Clark, Using language . Cambridge university press, 1996
1996
Earlier work this paper cites.
L. P. Kaelbling, M. L. Littman, and A. R. Cassandra, “Planning and acting in partially observable stochastic domains,” Artificial intelligence , vol. 101, no. 1-2, pp. 99–134, 1998
1998
Earlier work this paper cites.
A. Bosch-Domenech, J. G. Montalvo, R. Nagel, and A. Satorra, “One, two,(three), infinity,…: Newspaper and lab beauty-contest experiments,” American Economic Review , vol. 92, no. 5, pp. 1687–1701, 2002
2002
Earlier work this paper cites.
E. Horvitz and J. Apacible, “Learning and reasoning about interruption,” in Proceedings of the 5th international conference on Multimodal interfaces , 2003, pp. 20–27
2003
Earlier work this paper cites.
J. MacMillan, E. E. Entin, and D. Serfaty, “Communication overhead: The hidden cost of team cognition.” 2004
2004
Earlier work this paper cites.
P. J. Gmytrasiewicz and P. Doshi, “A framework for sequential planning in multi-agent settings,” Journal of Artificial Intelligence Research , vol. 24, pp. 49–79, 2005
2005
Earlier work this paper cites.
P. Doshi and P. J. Gmytrasiewicz, “Monte Carlo sampling methods for approximating interactive POMDPs,” Journal of Artificial Intelligence Research , vol. 34, pp. 297–337, 2009
2009
Earlier work this paper cites.
M. Tomasello, Origins of human communication . MIT press, 2010
2010
Earlier work this paper cites.
A. Dragan and S. Srinivasa, “Generating legible motion,” 2013
2013
Earlier work this paper cites.
F. Stulp, J. Grizou, B. Busch, and M. Lopes, “Facilitating intention prediction for humans by optimizing robot motions,” in 2015 IEEE/RSJ international conference on intelligent robots and systems (IROS) . IEEE, 2015, pp. 1249–1255
2015
Earlier work this paper cites.
D. Hadfield-Menell, S. J. Russell, P. Abbeel, and A. Dragan, “Cooperative inverse reinforcement learning,” in Advances in Neural Information Processing Systems , 2016, pp. 3909–3917
2016
Earlier work this paper cites.
M. Kleiman-Weiner, M. K. Ho, J. L. Austerweil, M. L. Littman, and J. B. Tenenbaum, “Coordinate to cooperate or compete: abstract goals and joint intentions in social interaction,” in COGSCI , 2016
2016
Earlier work this paper cites.
S. Devin and R. Alami, “An implemented theory of mind to improve human-robot shared plans execution,” in 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI) . IEEE, 2016, pp. 319–326
2016
Earlier work this paper cites.
K. E. Schaefer, E. R. Straub, J. Y. Chen, J. Putney, and A. W. Evans III, “Communicating intent to develop shared situation awareness and engender trust in human-agent teams,” Cognitive Systems Research , vol. 46, pp. 26–39, 2017
2017
Cited alongside, same era.
C. L. Baker, J. Jara-Ettinger, R. Saxe, and J. B. Tenenbaum, “Rational quantitative attribution of beliefs, desires and percepts in human mentalizing,” Nature Human Behaviour , vol. 1, no. 4, pp. 1–10, 2017
2017
Cited alongside, same era.
Y. Zhang, S. Sreedharan, A. Kulkarni, T. Chakraborti, H. H. Zhuo, and S. Kambhampati, “Plan explicability and predictability for robot task planning,” in 2017 IEEE international conference on robotics and automation (ICRA) . IEEE, 2017, pp. 1313–1320
2017
Cited alongside, same era.
E. C. Williams, N. Gopalan, M. Rhee, and S. Tellex, “Learning to parse natural language to grounded reward functions with weak supervision,” in 2018 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2018, pp. 4430–4436
L. Yuan, X. Gao, Z. Zheng, M. Edmonds, Y. N. Wu, F. Rossano, H. Lu, Y. Zhu, and S.-C. Zhu, “In situ bidirectional human-robot value alignment,” Science robotics , vol. 7, no. 68, p. eabm4183, 2022
2022
Later among the works it cites.
X. Gao, L. Yuan, T. Shu, H. Lu, and S.-C. Zhu, “Show me what you can do: Capability calibration on reachable workspace for human-robot collaboration,” IEEE Robotics and Automation Letters , vol. 7, no. 2, pp. 2644–2651, 2022
2022
Later among the works it cites.
L. Ying, T. Zhi-Xuan, V. Mansinghka, and J. B. Tenenbaum, “Inferring the goals of communicating agents from actions and instructions,” in Proceedings of the AAAI Symposium Series , vol. 2, no. 1, 2023, pp. 26–33
2023
Later among the works it cites.
2023
Later among the works it cites.
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2018
Cited alongside, same era.
M. Kwon, S. H. Huang, and A. D. Dragan, “Expressing robot incapability,” in Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction , 2018, pp. 87–95
2018
Cited alongside, same era.
M. Carroll, R. Shah, M. K. Ho, T. Griffiths, S. Seshia, P. Abbeel, and A. Dragan, “On the utility of learning about humans for human-ai coordination,” Advances in neural information processing systems , vol. 32, 2019
2019
Cited alongside, same era.
X. Gao, R. Gong, Y. Zhao, S. Wang, T. Shu, and S.-C. Zhu, “Joint mind modeling for explanation generation in complex human-robot collaborative tasks,” in 2020 29th IEEE international conference on robot and human interactive communication (RO-MAN) . IEEE, 2020, pp. 1119–1126
2020
Cited alongside, same era.
A. Hong, N. Lunscher, T. Hu, Y. Tsuboi, X. Zhang, S. F. dos Reis Alves, G. Nejat, and B. Benhabib, “A multimodal emotional human–robot interaction architecture for social robots engaged in bidirectional communication,” IEEE transactions on cybernetics , vol. 51, no. 12, pp. 5954–5968, 2020
2020
Cited alongside, same era.
V. V. Unhelkar, S. Li, and J. A. Shah, “Decision-making for bidirectional communication in sequential human-robot collaborative tasks,” in Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction , 2020, pp. 329–341
2020
Cited alongside, same era.
T. Zhi-Xuan, J. Mann, T. Silver, J. Tenenbaum, and V. Mansinghka, “Online bayesian goal inference for boundedly rational planning agents,” Advances in Neural Information Processing Systems , vol. 33, 2020
2020
Cited alongside, same era.
2020
Cited alongside, same era.
S. A. Wu, R. E. Wang, J. A. Evans, J. B. Tenenbaum, D. C. Parkes, and M. Kleiman-Weiner, “Too many cooks: Bayesian inference for coordinating multi-agent collaboration,” Topics in Cognitive Science , vol. 13, no. 2, pp. 414–432, 2021
2021
Cited alongside, same era.
C. Zhang, J. Chen, J. Li, Y. Peng, and Z. Mao, “Large language models for human-robot interaction: A review,” Biomimetic Intelligence and Robotics , p. 100131, 2023
2023
Later among the works it cites.
B. Ichter, A. Brohan, Y. Chebotar, C. Finn, K. Hausman, . …, and C. Kelly, “Do as i can, not as i say: Grounding language in robotic affordances,” in Proceedings of The 6th Conference on Robot Learning , ser. Proceedings of Machine Learning Research, K. Liu, D. Kulic, and J. Ichnowski, Eds., vol. 205. PMLR, 14–18 Dec 2023, pp. 287–318
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
OpenAI, “Gpt-4 technical report,” 2023
2023
Later among the works it cites.
2024
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2024
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