Name
Abstract | ||
|---|---|---|
We propose a metric for comparing the anthropomorphic motion capability of robotic and prosthetic hands. The metric is based on the evaluation of how many different postures or configurations a hand can perform by studying the reachable set of fingertip poses. To define a benchmark for comparison, we first generate data with human subjects based on an extensive grasp taxonomy. We then develop a methodology for comparison using generative, nonlinear dimensionality reduction techniques. We assess the performance of different hands with respect to the human hand and with respect to each other. The method can be used to compare other types of kinematic structures. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TRO.2012.2217675 | IEEE Transactions on Robotics |
Keywords | Field | DocType |
Humans,Kinematics,Manifolds,Robots,Vectors,Measurement,Joints | Computer vision,Nonlinear system,GRASP,Kinematics,Artificial limbs,Medical robotics,Artificial intelligence,Nonlinear dimensionality reduction,Mathematics | Journal |
Volume | Issue | ISSN |
29 | 1 | 1552-3098 |
Citations | PageRank | References |
8 | 0.56 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Feix | 1 | 129 | 9.14 |
| javier romero | 2 | 991 | 34.17 |
| carl henrik ek | 3 | 327 | 30.76 |
| Heinz-Bodo Schmiedmayer | 4 | 62 | 2.96 |
| Danica Kragic | 5 | 2070 | 142.17 |