Fetching the paper…
Reading the bibliography…
Human collaborators can effectively communicate with their partners to finish a common task by inferring each other's mental states (e.g., goals, beliefs, and desires).
H. Liu, Y. Zhang, W. Si, X. Xie, Y. Zhu, and S.-C. Zhu, “Interactive robot knowledge patching using augmented reality,” in 2018 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2018, pp. 1947–1954
1954
Earlier work this paper cites.
D. Premack and G. Woodruff, “Does the chimpanzee have a theory of mind?” Behavioral and brain sciences , vol. 1, no. 4, pp. 515–526, 1978
1978
Earlier work this paper cites.
D. C. Dennett, The intentional stance . MIT press, 1989
1989
Earlier work this paper cites.
M. A. Carreira-Perpinan and G. E. Hinton, “On contrastive divergence learning.” in Aistats , vol. 10. Citeseer, 2005, pp. 33–40
2005
Earlier work this paper cites.
P. Stone, G. A. Kaminka, S. Kraus, and J. S. Rosenschein, “Ad hoc autonomous agent teams: Collaboration without pre-coordination,” in Twenty-Fourth AAAI Conference on Artificial Intelligence , 2010
2010
Earlier work this paper cites.
A. Dragan and S. Srinivasa, “Generating legible motion,” 2013
2013
Earlier work this paper cites.
K. Tu, M. Pavlovskaia, and S.-C. Zhu, “Unsupervised structure learning of stochastic and-or grammars,” in Advances in neural information processing systems , 2013, pp. 1322–1330
2013
Earlier work this paper cites.
K. P. Hawkins, S. Bansal, N. N. Vo, and A. F. Bobick, “Anticipating human actions for collaboration in the presence of task and sensor uncertainty,” in 2014 IEEE international conference on robotics and automation (ICRA) . IEEE, 2014, pp. 2215–2222
2014
Earlier work this paper cites.
A. Xu and G. Dudek, “Optimo: Online probabilistic trust inference model for asymmetric human-robot collaborations,” in 2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI) . IEEE, 2015, pp. 221–228
2015
Earlier work this paper cites.
T. Shu, D. Xie, B. Rothrock, S. Todorovic, and S.-C. Zhu, “Joint inference of groups, events and human roles in aerial videos,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2015, pp. 4576–4584
2015
Earlier work this paper cites.
S. Levine, C. Finn, T. Darrell, and P. Abbeel, “End-to-end training of deep visuomotor policies,” The Journal of Machine Learning Research , vol. 17, no. 1, pp. 1334–1373, 2016
2016
Cited alongside, same era.
C. Liu, J. B. Hamrick, J. F. Fisac, A. D. Dragan, J. K. Hedrick, S. S. Sastry, and T. L. Griffiths, “Goal inference improves objective and perceived performance in human-robot collaboration,” in Proceedings of the 2016 international conference on autonomous agents & multiagent systems . International Foundation for Autonomous Agents and Multiagent Systems, 2016, pp. 940–948
2016
Cited alongside, same era.
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
Cited alongside, same era.
N. Wang, D. V. Pynadath, and S. G. Hill, “Trust calibration within a human-robot team: Comparing automatically generated explanations,” in The Eleventh ACM/IEEE International Conference on Human Robot Interaction . IEEE Press, 2016, pp. 109–116
T. Shu, X. Gao, M. S. Ryoo, and S.-C. Zhu, “Learning social affordance grammar from videos: Transferring human interactions to human-robot interactions,” in 2017 IEEE international conference on robotics and automation (ICRA) . IEEE, 2017, pp. 1669–1676
2017
Later among the works it cites.
S. Reddy, A. Dragan, and S. Levine, “Where do you think you’re going?: Inferring beliefs about dynamics from behavior,” in Advances in Neural Information Processing Systems , 2018, pp. 1454–1465
2018
Later among the works it cites.
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
Later among the works it cites.
Z. Gong and Y. Zhang, “Behavior explanation as intention signaling in human-robot teaming,” in 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) . IEEE, 2018, pp. 1005–1011
2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2016
Cited alongside, same era.
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
Cited alongside, same era.
C. Xiong, N. Shukla, W. Xiong, and S.-C. Zhu, “Robot learning with a spatial, temporal, and causal and-or graph,” in 2016 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2016, pp. 2144–2151
2016
Cited alongside, same era.
2017
Cited alongside, same era.
D. Gunning, “Explainable artificial intelligence (xai),” Defense Advanced Research Projects Agency (DARPA), nd Web , vol. 2, 2017
2017
Cited alongside, same era.
P. Langley, B. Meadows, M. Sridharan, and D. Choi, “Explainable agency for intelligent autonomous systems,” in Twenty-Ninth IAAI Conference , 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.
S. Sreedharan, S. Srivastava, and S. Kambhampati, “Hierarchical expertise level modeling for user specific contrastive explanations.” in IJCAI , 2018, pp. 4829–4836
2018
Later among the works it cites.
S. Nikolaidis, M. Kwon, J. Forlizzi, and S. Srinivasa, “Planning with verbal communication for human-robot collaboration,” ACM Transactions on Human-Robot Interaction (THRI) , vol. 7, no. 3, pp. 1–21, 2018
2018
Later among the works it cites.
S. Anjomshoae, A. Najjar, D. Calvaresi, and K. Främling, “Explainable agents and robots: Results from a systematic literature review,” in Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems . International Foundation for Autonomous Agents and Multiagent Systems, 2019, pp. 1078–1088
2019
Later among the works it cites.
T. Miller, “Explanation in artificial intelligence: Insights from the social sciences,” Artificial Intelligence , vol. 267, pp. 1–38, 2019
2019
Later among the works it cites.
O. Struckmeier, M. Racca, and V. Kyrki, “Autonomous generation of robust and focused explanations for robot policies,” in 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) . IEEE, 2019, pp. 1–8
2019
Later among the works it cites.
A. Tabrez, S. Agrawal, and B. Hayes, “Explanation-based reward coaching to improve human performance via reinforcement learning,” in 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI) . IEEE, 2019, pp. 249–257
2019
Later among the works it cites.