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Estimation of Human Cloth Topological Relationship using Depth Sensor for Robotic Clothing Assistance., , , and . AIR, page 36:1-36:6. ACM, (2013)Modeling occupancy grids using EDHMM for dynamic environments., , and . AIR, page 60:1-60:6. ACM, (2015)Virtual Reality as a User-friendly Interface for Learning from Demonstrations., , , , and . CHI Extended Abstracts, ACM, (2018)Rearranging Tasks in Daily-life Environments Using a Monte Carlo Tree Search and a Feasibility Database., , , , and . SII, page 330-335. IEEE, (2021)Toward imitating visual attention of experts in software development tasks., , , , and . EMIP@ICSE, page 33-36. IEEE / ACM, (2019)Designing Efficient Neural Attention Systems Towards Achieving Human-level Sharp Vision., , , , , and . ICLR (Workshop), OpenReview.net, (2018)Solving the Shepherding Problem: Imitation Learning Can Acquire the Switching Algorithm., , and . IJCNN, page 1-7. IEEE, (2021)Real-time estimation of Human-Cloth topological relationship using depth sensor for robotic clothing assistance., , , and . RO-MAN, page 124-129. IEEE, (2014)Realism Assessment for Synthetic Images in Robot Vision through Performance Characterization., , and . IROS, page 13089-13096. IEEE, (2022)Combining Symbolic and Motion Planners for Rearranging Tasks in Daily-life Environments., , , , and . IRC, page 71-74. IEEE, (2020)