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Existing navigation policies for autonomous robots tend to focus on collision avoidance while ignoring human-robot interactions in social life.
J. Van den Berg, M. Lin, and D. Manocha, “Reciprocal velocity obstacles for real-time multi-agent navigation,” in Proceedings of ICRA-2008 . IEEE, 2008, pp. 1928–1935
1935
Earlier work this paper cites.
L. Zadeh, “Fuzzy sets,” Information and Control , vol. 8, no. 3, pp. 338–353, 1965. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S001999586590241X
1965
Earlier work this paper cites.
J. Borenstein and Y. Koren, “Real-time obstacle avoidance for fast mobile robots,” IEEE Transactions on systems, Man, and Cybernetics , vol. 19, no. 5, pp. 1179–1187, 1989
1989
Earlier work this paper cites.
Borenstein, Johann and Koren, Yoram, “Real-time obstacle avoidance for fast mobile robots in cluttered environments,” in Proceedings., IEEE International Conference on Robotics and Automation . IEEE, 1990, pp. 572–577
1990
Earlier work this paper cites.
J. Borenstein, Y. Koren et al. , “The vector field histogram-fast obstacle avoidance for mobile robots,” IEEE transactions on robotics and automation , vol. 7, no. 3, pp. 278–288, 1991
1991
Earlier work this paper cites.
D. Helbing and P. Molnar, “Social force model for pedestrian dynamics,” Physical review E , vol. 51, no. 5, p. 4282, 1995
1995
Earlier work this paper cites.
J. Van Den Berg, S. J. Guy, M. Lin, and D. Manocha, “Reciprocal n-body collision avoidance,” in Robotics research . Springer, 2011, pp. 3–19
2011
Earlier work this paper cites.
M. Phillips and M. Likhachev, “Sipp: Safe interval path planning for dynamic environments,” in 2011 IEEE International Conference on Robotics and Automation . IEEE, 2011, pp. 5628–5635
2011
Earlier work this paper cites.
T. Kruse, A. K. Pandey, R. Alami, and A. Kirsch, “Human-aware robot navigation: A survey,” Robotics and Autonomous Systems , vol. 61, no. 12, pp. 1726–1743, 2013
2013
Earlier work this paper cites.
G. Ferrer, A. Garrell, and A. Sanfeliu, “Robot companion: A social-force based approach with human awareness-navigation in crowded environments,” in 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems . IEEE, 2013, pp. 1688–1694
2013
Earlier work this paper cites.
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, “Generative adversarial nets,” Advances in neural information processing systems , vol. 27, 2014
2014
Earlier work this paper cites.
G. Ferrer and A. Sanfeliu, “Behavior estimation for a complete framework for human motion prediction in crowded environments,” in 2014 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2014, pp. 5940–5945
2014
Earlier work this paper cites.
J. Ho and S. Ermon, “Generative adversarial imitation learning,” Advances in neural information processing systems , vol. 29, pp. 4565–4573, 2016
2016
Cited alongside, same era.
D. Mehta, G. Ferrer, and E. Olson, “Autonomous navigation in dynamic social environments using multi-policy decision making,” in 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2016, pp. 1190–1197
2016
Cited alongside, same era.
B. Kim and J. Pineau, “Socially adaptive path planning in human environments using inverse reinforcement learning,” International Journal of Social Robotics , vol. 8, no. 1, pp. 51–66, 2016
2016
Cited alongside, same era.
T. Linder, S. Breuers, B. Leibe, and K. O. Arras, “On multi-modal people tracking from mobile platforms in very crowded and dynamic environments,” in Proceedings of ICRA-2016 . IEEE, 2016, pp. 5512–5519
2016
Cited alongside, same era.
M. Everett, Y. F. Chen, and J. P. How, “Motion planning among dynamic, decision-making agents with deep reinforcement learning,” in 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2018, pp. 3052–3059
2018
Later among the works it cites.
2018
Later among the works it cites.
M. Xu, X. Xie, P. Lv, J. Niu, H. Wang, C. Li, R. Zhu, Z. Deng, and B. Zhou, “Crowd behavior simulation with emotional contagion in unexpected multihazard situations,” IEEE Transactions on Systems, Man, and Cybernetics: Systems , 2019
2019
Later among the works it cites.
C. Chen, Y. Liu, S. Kreiss, and A. Alahi, “Crowd-robot interaction: Crowd-aware robot navigation with attention-based deep reinforcement learning,” in Proceedings of ICRA-2019 , 2019, pp. 6015–6022
2019
Later among the works it cites.
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Y. F. Chen, M. Liu, M. Everett, and J. P. How, “Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning,” in 2017 IEEE international conference on robotics and automation (ICRA) , 2017, pp. 285–292
2017
Cited alongside, same era.
Y. F. Chen, M. Everett, M. Liu, and J. P. How, “Socially aware motion planning with deep reinforcement learning,” in 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2017, pp. 1343–1350
2017
Cited alongside, same era.
2017
Cited alongside, same era.
2017
Cited alongside, same era.
T. Obo and E. Yasuda, “Intelligent fuzzy controller for human-aware robot navigation,” in 2018 12th France-Japan and 10th Europe-Asia Congress on Mechatronics . IEEE, 2018, pp. 392–397
2018
Cited alongside, same era.
R. S. Sutton and A. G. Barto, Reinforcement learning: An introduction . MIT press, 2018
2018
Cited alongside, same era.
Y. Liu, A. Xu, and Z. Chen, “Map-based deep imitation learning for obstacle avoidance,” in Proceedings of IROS-2018 , 2018, pp. 8644–8649
2018
Cited alongside, same era.
L. Tai, J. Zhang, M. Liu, and W. Burgard, “Socially compliant navigation through raw depth inputs with generative adversarial imitation learning,” in 2018 IEEE International Conference on Robotics and Automation (ICRA) , 2018, pp. 1111–1117
2018
Cited alongside, same era.
L. Liu, D. Dugas, G. Cesari, R. Siegwart, and R. Dubé, “Robot navigation in crowded environments using deep reinforcement learning,” in Proceedings of IROS-2020 , 2020, pp. 5671–5677
2020
Later among the works it cites.
Y. Chen, C. Liu, B. E. Shi, and M. Liu, “Robot navigation in crowds by graph convolutional networks with attention learned from human gaze,” IEEE Robotics and Automation Letters , vol. 5, no. 2, pp. 2754–2761, 2020
2020
Later among the works it cites.
G. Chen, S. Yao, J. Ma, L. Pan, Y. Chen, P. Xu, J. Ji, and X. Chen, “Distributed non-communicating multi-robot collision avoidance via map-based deep reinforcement learning,” Sensors , vol. 20, no. 17, p. 4836, 2020
2020
Later among the works it cites.
M. Nishimura and R. Yonetani, “L2b: Learning to balance the safety-efficiency trade-off in interactive crowd-aware robot navigation,” in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2020, pp. 11 004–11 010
2020
Later among the works it cites.
T. Fan, P. Long, W. Liu, and J. Pan, “Distributed multi-robot collision avoidance via deep reinforcement learning for navigation in complex scenarios,” The International Journal of Robotics Research , vol. 39, no. 7, pp. 856–892, 2020
2020
Later among the works it cites.
D. Dugas, J. Nieto, R. Siegwart, and J. J. Chung, “Ian: Multi-behavior navigation planning for robots in real, crowded environments,” in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2020, pp. 11 368–11 375
2020
Later among the works it cites.
S. Yao, G. Chen, Q. Qiu, J. Ma, X. Chen, and J. Ji, “Crowd-aware robot navigation for pedestrians with multiple collision avoidance strategies via map-based deep reinforcement learning,” in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2021, pp. 8144–8150
2021
Later among the works it cites.