Plug-and-Play Supervisory Control Using Muscle and Brain Signals for Real-Time Gesture and Error Detection
Control of robots in safety-critical tasks and situations where costly errors may occur is paramount for realizing the vision of pervasive human-robot collaborations. For these cases, the ability to use human cognition in the loop can be key for recuperating safe robot operation. This paper combines...
| Main Authors: | , , , , , |
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| Other Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Robotics: Science and Systems Foundation,
2018-11-16T15:53:18Z.
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| Subjects: | |
| Online Access: | Get fulltext |