Name
Title | ||
|---|---|---|
Combined Sensing, Cognition, Learning and Control to Developing Future Neuro-Robotics Systems: A Survey |
Abstract | ||
|---|---|---|
Neuro-robotics systems (NRSs) is the current state-of-the-art research with the strategic alliance of neuroscience and robotics. It endows the next generation of robots with embodied intelligence to identify themselves and interact with humans and environments naturally. Therefore, it needs to study the interaction of recent breakthroughs in brain neuroscience, robotics, and artificial intelligenc... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TCDS.2019.2897618 | IEEE Transactions on Cognitive and Developmental Systems |
Keywords | Field | DocType |
Robot sensing systems,Neuroscience,Robot kinematics,Service robots,Brain modeling | Strategic alliance,Computer science,Cognitive science,Robot kinematics,Embodied cognition,Artificial intelligence,Robot,Cognition,Perception,Robotics | Journal |
Volume | Issue | ISSN |
11 | 2 | 2379-8920 |
Citations | PageRank | References |
2 | 0.38 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junjun Li | 1 | 32 | 3.44 |
| Zhijun Li | 2 | 939 | 91.73 |
| Fei Chen | 3 | 26 | 7.64 |
| Antonio Bicchi | 4 | 4104 | 387.23 |
| Yu Sun | 5 | 418 | 69.89 |
| Toshio Fukuda | 6 | 2723 | 818.58 |