Name
Title | ||
|---|---|---|
COCoMoPL: A Novel Approach for Humanoid Walking Generation Combining Optimal Control, Movement Primitives and Learning and its Transfer to the Real Robot HRP-2. |
Abstract | ||
|---|---|---|
COCoMoPL is a recently developed approach combining optimal control, movement primitives and learning for the generation of humanoid walking motions (Clever et al. Robot. Auton. Syst., vol. 83, pp. 287.298, 2016). It solves optimal control problems based on detailed dynamic models of the robot for a variety of walking parameters and uses the solutions as training data to create movement primitives... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/LRA.2017.2657000 | IEEE Robotics and Automation Letters |
Keywords | Field | DocType |
Legged locomotion,Optimal control,Computational modeling,Training data,Humanoid robots,Dynamics | Training set,Robot control,Optimal control,Simulation,Control engineering,Dynamic models,Engineering,Robot,Actuator,Humanoid robot | Journal |
Volume | Issue | ISSN |
2 | 2 | 2377-3766 |
Citations | PageRank | References |
6 | 0.42 | 13 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Debora Clever | 1 | 22 | 6.05 |
| Monika Harant | 2 | 12 | 1.60 |
| Katja D. Mombaur | 3 | 79 | 13.69 |
| Maximilien Naveau | 4 | 44 | 4.45 |
| Olivier Stasse | 5 | 1438 | 85.86 |
| Dominik Endres | 6 | 78 | 11.23 |