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Show, Attend and Interact: Perceivable Human-Robot Social Interaction through Neural Attention Q-Network.

, , , and . CoRR, (2017)

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Robot gains social intelligence through multimodal deep reinforcement learning., , , and . Humanoids, page 745-751. IEEE, (2016)Learning Sampling Dictionaries for Efficient and Generalizable Robot Motion Planning with Transformers., , and . CoRR, (2023)MPC-MPNet: Model-Predictive Motion Planning Networks for Fast, Near-Optimal Planning under Kinodynamic Constraints., , , and . CoRR, (2021)Motion Planning Transformers: One Model to Plan Them All., , , and . CoRR, (2021)Show, attend and interact: Perceivable human-robot social interaction through neural attention Q-network., , , and . ICRA, page 1639-1645. IEEE, (2017)Motion Planning Networks., , , and . ICRA, page 2118-2124. IEEE, (2019)Re-planning Using Delaunay Triangulation for Real Time Motion Planning in Complex Dynamic Environments., , , and . AIM, page 905-911. IEEE, (2018)Triangular Geometrized Sampling Heuristics for Fast Optimal Motion Planning, , , , , and . International Journal of Advanced Robotic Systems, (February 2015)Potential functions based sampling heuristic for optimal path planning., and . Auton. Robots, 40 (6): 1079-1093 (2016)Intelligent bidirectional rapidly-exploring random trees for optimal motion planning in complex cluttered environments., and . CoRR, (2017)