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Mar 12, 2020 · In this paper, we propose an approach for human-to-robot handovers in which the robot meets the human halfway, by classifying the human's grasp ...
Oct 29, 2020 · In this paper, we propose an approach for human-to-robot handovers in which the robot meets the human halfway, by classifying the human's grasp ...
The handover task is modeled as a Robust Logical-Dynamical System following on previous work [8], which generates motion plans that avoid contact between the ...
This paper proposes an approach for human-to-robot handovers in which the robot meets the human halfway, by classifying the human's grasp of the object and ...
In human-torobot (H2R) handovers, the robot can adapt to the current and/or future state of the human (i.e., hand posture) and receive objects from the human [ ...
Human Grasp Classification for Reactive Human-to-Robot Handovers. from www.therobotreport.com
Mar 23, 2020 · The system classifies a human's grasp and plans a robot's trajectory to take the object from the human's hand.
Human Grasp Classification for Reactive Human-to-Robot Handovers. from research.nvidia.com
Human Grasp Classification for Reactive Human-to-Robot Handovers. Wei Yang, Chris Paxton., Maya Cakmak, Dieter Fox. October, 2020. Cite arXiv Video Website.
Human Grasp Classification for Reactive Human-to-Robot Handovers. W. Yang, C. Paxton, M. Cakmak, and D. Fox, “Human Grasp Classification for Reactive Human ...
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Nov 17, 2020 · In this paper, we present a vision-based system that enables reactive human-to-robot handovers of unknown objects.