This paper presents a method to estimate external forces exerted on a manipulator during motion, avoiding the use of a sensor. The method is based on task-oriented dynamics model learning and a robust disturbance state observer. The combination of both leads to an efficient torque observer that can be incorporated to any control scheme. The use of a learning-based approach avoids the need of analytical models of joints' friction or Coriolis dynamics effects.
External force estimation during compliant robot manipulation
Adrià Colomé,D. Pardo,G. Alenyà,C. Torras
Published 2013 in IEEE International Conference on Robotics and Automation
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- Publication year
2013
- Venue
IEEE International Conference on Robotics and Automation
- Publication date
2013-05-06
- Fields of study
Computer Science, Engineering
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