Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams Via Recurrent Neural Schedule Propagation
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)（2022）
Key words
coordination policy learning,deep learning,deterministic performance,heterogeneous GNN,heterogeneous graph attention networks,heterogeneous graph-based encoder,human-robot collaboration,human-robot scheduling,HybridNet recurrent neural schedule propagator,long short-term memory,LSTM,recurrent neural schedule propagation,reinforcement learning,sequential decision-making process,stochastic human performance,stochastic human-robot team scheduling,virtual task scheduling environment
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