HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers

May 19, 2022 Β· Declared Dead Β· πŸ› IEEE International Conference on Robotics and Automation

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Authors Yu-Wei Chao, Chris Paxton, Yu Xiang, Wei Yang, Balakumar Sundaralingam, Tao Chen, Adithyavairavan Murali, Maya Cakmak, Dieter Fox arXiv ID 2205.09747 Category cs.RO: Robotics Cross-listed cs.CV Citations 30 Venue IEEE International Conference on Robotics and Automation Last Checked 4 months ago
Abstract
We introduce a new simulation benchmark "HandoverSim" for human-to-robot object handovers. To simulate the giver's motion, we leverage a recent motion capture dataset of hand grasping of objects. We create training and evaluation environments for the receiver with standardized protocols and metrics. We analyze the performance of a set of baselines and show a correlation with a real-world evaluation. Code is open sourced at https://handover-sim.github.io.
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