Name
Abstract | ||
|---|---|---|
Locomotion of legged robots on arbitrary terrain using multiple contacts is yet an open problem. To tackle it, a common approach is to rely on reduced template models (e.g., the linear inverted pendulum). However, most of existing template models are based on some restrictive hypotheses that limit their range of applications. Moreover, reduced models are generally not able to cope with the constra... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TRO.2018.2862902 | IEEE Transactions on Robotics |
Keywords | Field | DocType |
Legged locomotion,Machine learning,Humanoid robots,Optimal control,Computational modeling,Trajectory tracking,Kinematics | Offline learning,Robot control,Inverted pendulum,Control theory,Legged robot,Control engineering,Robot locomotion,Solver,Robot,Mathematics,Humanoid robot | Journal |
Volume | Issue | ISSN |
34 | 6 | 1552-3098 |
Citations | PageRank | References |
13 | 0.95 | 13 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Justin Carpentier | 1 | 32 | 9.16 |
| Nicolas Mansard | 2 | 490 | 39.67 |