Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
@inproceedings{Liu2022IntentionAR, title={Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph}, author={Shuijing Liu and Peixin Chang and Zhe Huang and Neeloy Chakraborty and Kaiwen Hong and Weihang Liang and David Livingston McPherson and Junyi Geng and Katherine Rose Driggs-Campbell}, year={2022} }
—We study the problem of safe and intention-aware robot navigation in dense and interactive crowds. Most previous reinforcement learning (RL) based methods fail to consider different types of interactions among all agents or ignore the intentions of people, which results in performance degradation. In this paper, we propose a novel recurrent graph neural network with attention mechanisms to capture heterogeneous interactions among agents through space and time. To en-courage longsighted robot…
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