Name
Title | ||
|---|---|---|
HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers |
Abstract | ||
|---|---|---|
We introduce a new simulation benchmark “Han-doverSim” 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.11Code is open sourced at https://handover-sim.github.io. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/ICRA46639.2022.9812302 | IEEE International Conference on Robotics and Automation |
DocType | Volume | Issue |
Conference | 2022 | 1 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu-Wei Chao | 1 | 0 | 0.68 |
| Chris Paxton | 2 | 46 | 13.91 |
| Yu Xiang | 3 | 629 | 23.04 |
| Wei Yang | 4 | 0 | 1.01 |
| Balakumar Sundaralingam | 5 | 0 | 0.68 |
| Tao Chen | 6 | 0 | 0.34 |
| Adithyavairavan Murali | 7 | 0 | 0.34 |
| Maya Cakmak | 8 | 882 | 58.40 |
| Dieter Fox | 9 | 12306 | 1289.74 |