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Developing a safe and efficient collision avoidance policy for multiple robots is challenging in the decentralized scenarios where each robot generate its paths without observing other robots' states and intents.
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2017
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2017
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2017
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2015
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2016
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2016
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2017
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J. Sergeant, N. Sünderhauf, M. Milford, and B. Upcroft, “Multimodal deep autoencoders for control of a mobile robot.”
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2017
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Y. Zhu, R. Mottaghi, E. Kolve, J. J. Lim, A. Gupta, L. Fei-Fei, and A. Farhadi, “Target-driven visual navigation in indoor scenes using deep reinforcement learning,” in
2017
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2017
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