Abstract
This letter proposes a model predictive control approach for semi-autonomous teleoperation of robot manipulators: the focus is on avoiding obstacles with the whole robot frame, while exploiting predictions of the operator's motion. The hand pose of the human operator provides the reference for the end effector, and the robot motion is continuously replanned in real time, satisfying several constraints. An experimental case study is described regarding the design and testing of the described framework on a UR5 manipulator: the experimental results confirm the suitability of the proposed method for semi-autonomous teleoperation, both in terms of performance (tracking capability and constraint satisfaction) and computational complexity (the control law is calculated well within the sampling interval).
| Original language | English |
|---|---|
| Article number | 8718327 |
| Pages (from-to) | 2746-2753 |
| Number of pages | 8 |
| Journal | IEEE Robotics and Automation Letters |
| Volume | 4 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Jul 1 2019 |
Keywords
- industrial robots
- motion and path planning
- Optimization and optimal control
ASJC Scopus subject areas
- Control and Systems Engineering
- Biomedical Engineering
- Human-Computer Interaction
- Mechanical Engineering
- Computer Vision and Pattern Recognition
- Computer Science Applications
- Control and Optimization
- Artificial Intelligence