Abstract | ||
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This paper presents a human-robot interface, which incorporates Kalman filters (KFs) and adaptive multispace transformation (AMT), to track movements of the human hand and control the robot manipulator. This system employs one inertial measurement unit and a 3-D camera (Kinect) to determine the orientation and translation of the human hand, and uses KFs to estimate these. Although KFs can estimate... |
Year | DOI | Venue |
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2014 | 10.1109/TIE.2014.2301728 | IEEE Transactions on Industrial Electronics |
Keywords | Field | DocType |
Vectors,Joints,Robot sensing systems,Damping,Licenses,Tracking | Control theory,Control engineering,Handshaking,Artificial intelligence,Inertial measurement unit,Operator (computer programming),Human–robot interaction,Robot control,Computer vision,Image sensor,Kalman filter,Engineering,Robot | Journal |
Volume | Issue | ISSN |
61 | 10 | 0278-0046 |
Citations | PageRank | References |
4 | 0.48 | 16 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Guanglong Du | 1 | 115 | 14.06 |
Ping Zhang | 2 | 58 | 7.64 |
Di Li | 3 | 48 | 14.30 |