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This work presents the Human Navigation Simulator (HuNavSim), a novel open-source tool for the simulation of different human-agent navigation behaviors in scenarios with mobile robots.
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N. Tsoi, M. Hussein, J. Espinoza, X. Ruiz, and M. Vázquez, “Sean: Social environment for autonomous navigation,” in the 8th International Conference on Human-Agent Interaction (HAI ’20) , 11 2020, pp. 281–283
2020
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P. Teja S. and R. Alami, “Hateb-2: Reactive planning and decision making in human-robot co-navigation,” in 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) , 2020, pp. 179–186
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D. Perille, A. Truong, X. Xiao, and P. Stone, “Benchmarking metric ground navigation,” in 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) , Abu Dhabi, UAE, 2020, pp. 116–121
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Y. Gao and C.-M. Huang, “Evaluation of socially-aware robot navigation,” Frontiers in Robotics and AI , vol. 8, 2022. [Online]. Available: https://www.frontiersin.org/articles/10.3389/frobt.2021.721317
2021
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S. Macenski, T. Foote, B. Gerkey, C. Lalancette, and W. Woodall, “Robot operating system 2: Design, architecture, and uses in the wild,” Science Robotics , vol. 7, no. 66, pp. 60–74, 2022. [Online]. Available: https://www.science.org/doi/abs/10.1126/scirobotics.abm6074
2022
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N. Tsoi, A. Xiang, P. Yu, S. S. Sohn, G. Schwartz, S. Ramesh, M. Hussein, A. W. Gupta, M. Kapadia, and M. Vázquez, “Sean 2.0: Formalizing and generating social situations for robot navigation,” IEEE Robotics and Automation Letters , vol. 7, no. 4, pp. 11 047–11 054, 2022
2022
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A. Biswas, A. Wang, G. Silvera, A. Steinfeld, and H. Admoni, “Socnavbench: A grounded simulation testing framework for evaluating social navigation,” ACM Transactions on Human-Robot Interaction , jul 2022. [Online]. Available: https://doi.org/10.1145/3476413
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F. Grzeskowiak, D. Gonon, D. Dugas, D. Paez-Granados, J. J. Chung, J. Nieto, R. Siegwart, A. Billard, M. Babel, and J. Pettré, “Crowd against the machine: A simulation-based benchmark tool to evaluate and compare robot capabilities to navigate a human crowd,” in 2021 IEEE International Conference on Robotics and Automation (ICRA) , 2021, pp. 3879–3885
2021
Cited alongside, same era.
A. Favier, P.-T. Singamaneni, and R. Alami, “Simulating Intelligent Human Agents for Intricate Social Robot Navigation,” in RSS Workshop on Social Robot Navigation 2021 , Washington, United States, Jul. 2021
2021
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——, “An Intelligent Human Simulation (InHuS) for developing and experimenting human-aware and interactive robot abilities,” Jun. 2021, working paper or preprint
2021
Cited alongside, same era.
L. Kästner, T. Buiyan, L. Jiao, T. A. Le, X. Zhao, Z. Shen, and J. Lambrecht, “Arena-rosnav: Towards deployment of deep-reinforcement-learning-based obstacle avoidance into conventional autonomous navigation systems,” in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2021, pp. 6456–6463
2021
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E. Heiden, L. Palmieri, L. Bruns, K. O. Arras, G. S. Sukhatme, and S. Koenig, “Bench-mr: A motion planning benchmark for wheeled mobile robots,” IEEE Robotics and Automation Letters , vol. 6, no. 3, pp. 4536–4543, 2021
2021
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2022
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L. Kästner, T. Bhuiyan, T. A. Le, E. Treis, J. Cox, B. Meinardus, J. Kmiecik, R. Carstens, D. Pichel, B. Fatloun, N. Khorsandi, and J. Lambrecht, “Arena-bench: A benchmarking suite for obstacle avoidance approaches in highly dynamic environments,” IEEE Robotics and Automation Letters , vol. 7, no. 4, pp. 9477–9484, 2022
2022
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J. Holtz and J. Biswas, “Socialgym: A framework for benchmarking social robot navigation,” in 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2022, pp. 11 246–11 252
2022
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K. Katyal, Y. Gao, J. Markowitz, S. Pohland, C. Rivera, I.-J. Wang, and C.-M. Huang, “Learning a group-aware policy for robot navigation,” in 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2022, pp. 11 328–11 335
2022
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2023
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