Abstract
Much research has been done on direct teaching in which an operator directly teaches a robot its task by hand guiding. In this study, we propose a novel algorithm to add virtual stiffness to a robot based on its task without changing the mode of teaching. The proposed algorithm defines the task assistance domains with spherical, cylindrical, and hexahedral shapes depending on the task environment. Inside this domain, stiffness is added to assist the operator in teaching the robot. At the boundary of the task assistance domain, stiffness is gradually changed to avoid the instability due to an abrupt change in stiffness. The proposed method was implemented on a 6 DOF industrial robot performing direct teaching for machine tending to demonstrate its feasibility. The experiments show that the operator can perform direct teaching more efficiently and this algorithm is particularly good for repetitive teaching on a small batch production.
Original language | English |
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Title of host publication | 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 861-866 |
Number of pages | 6 |
ISBN (Electronic) | 9781509008216 |
DOIs | |
Publication status | Published - 2016 Oct 21 |
Event | 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016 - Xian, China Duration: 2016 Aug 19 → 2016 Aug 22 |
Other
Other | 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016 |
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Country/Territory | China |
City | Xian |
Period | 16/8/19 → 16/8/22 |
Keywords
- Cooperative manipulators
- Force control
ASJC Scopus subject areas
- Modelling and Simulation
- Artificial Intelligence
- Control and Optimization