Teleoperation control of Baxter robot using Kalman filter-based sensor fusion
- Submitting institution
-
University of Plymouth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1832
- Type
- D - Journal article
- DOI
-
10.1080/21642583.2017.1300109
- Title of journal
- Systems Science & Control Engineering
- Article number
- -
- First page
- 156
- Volume
- 5
- Issue
- 1
- ISSN
- 2164-2583
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 13
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper describes a complete framework to teleoperate a Baxter robot using kinect and myo-gesture-control armbands. The work is important because it develops an optimal strategy to reduce noise in teleoperation using Kalman filters for sensor fusion. The method obtains a very high precision. Similar methods were subsequently used for other robots (ie Nao) and presented at several conferences resulting in 4+ related publications on teleoperation (eg. TAROS 2017, ICMA 2016, ICARM 2016).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
