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Anticipating Human Intention for Full-Body Motion Prediction in Object Grasping and Placing Tasks
[article]
2020
arXiv
pre-print
Motion prediction in unstructured environments is a difficult problem and is essential for safe and efficient human-robot space sharing and collaboration. In this work, we focus on manipulation movements in environments such as homes, workplaces or restaurants, where the overall task and environment can be leveraged to produce accurate motion prediction. For these cases we propose an algorithmic framework that accounts explicitly for the environment geometry based on a model of affordances and
arXiv:2007.10038v1
fatcat:a73cyc24wvgydi2o4znqedb7bi