Name
Title | ||
|---|---|---|
Synergetic Learning Control Paradigm for Redundant Robot to Enhance Error-Energy Index. |
Abstract | ||
|---|---|---|
In order to perform energetically efficient motion as in human control, so-called optimization-based approach is commonly used in both robotics and neuroscience. Such an optimization approach can provide optimal solution when the prior dynamics information of the manipulator and the environment is explicitly given. However, the environment, where the robot faces with in a real world rarely has suc... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCDS.2017.2697904 | IEEE Transactions on Cognitive and Developmental Systems |
Keywords | Field | DocType |
Optimization,Manipulator dynamics,DC motors,Adaptation models,Torque | Adaptability,Robot learning,Torque,Computer science,DC motor,Redundancy (engineering),Artificial intelligence,Robot,Energy consumption,Robotics,Machine learning | Journal |
Volume | Issue | ISSN |
10 | 3 | 2379-8920 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mitsuhiro Hayashibe | 1 | 190 | 33.44 |
| Shingo Shimoda | 2 | 2 | 2.40 |