HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers
May 19, 2022 Β· Declared Dead Β· π 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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