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Crowd navigation has received increasing attention from researchers over the last few decades, resulting in the emergence of numerous approaches aimed at addressing this problem to date.
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2023
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2021
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2021
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2021
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P. Kothari, S. Kreiss, and A. Alahi, “Human trajectory forecasting in crowds: A deep learning perspective,” IEEE Transactions on Intelligent Transportation Systems , vol. 23, no. 7, pp. 7386–7400, 2021
2021
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V. Vulcano, S. G. Tarantos, P. Ferrari, and G. Oriolo, “Safe robot navigation in a crowd combining nmpc and control barrier functions,” in 2022 IEEE 61st Conference on Decision and Control (CDC) . IEEE, 2022, pp. 3321–3328
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C. Mavrogiannis, F. Baldini, A. Wang, D. Zhao, P. Trautman, A. Steinfeld, and J. Oh, “Core challenges of social robot navigation: A survey,” ACM Transactions on Human-Robot Interaction , vol. 12, no. 3, pp. 1–39, 2023
2023
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2023
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2023
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L. Lindemann, M. Cleaveland, G. Shim, and G. J. Pappas, “Safe planning in dynamic environments using conformal prediction,” IEEE Robotics and Automation Letters , 2023
2023
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