Name
Title | ||
|---|---|---|
Adaptive and Energy Efficient Walking in a Hexapod Robot Under Neuromechanical Control and Sensorimotor Learning. |
Abstract | ||
|---|---|---|
The control of multilegged animal walking is a neuromechanical process, and to achieve this in an adaptive and energy efficient way is a difficult and challenging problem. This is due to the fact that this process needs in real time: 1) to coordinate very many degrees of freedom of jointed legs; 2) to generate the proper leg stiffness (i.e., compliance); and 3) to determine joint angles that give ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TCYB.2015.2479237 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Joints,Legged locomotion,Robot sensing systems,Neurons,Robot kinematics,Muscles | Robot control,Control theory,Control theory,Modular neural network,Robot kinematics,Bio-inspired robotics,Hexapod,Robot,Mathematics,Haptic technology | Journal |
Volume | Issue | ISSN |
46 | 11 | 2168-2267 |
Citations | PageRank | References |
12 | 0.73 | 31 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaofeng Xiong | 1 | 15 | 3.49 |
| Florentin Wörgötter | 2 | 1304 | 119.30 |
| Poramate Manoonpong | 3 | 226 | 31.35 |