Semi-Autonomous Robot Teleoperation with Obstacle Avoidance via Model Predictive Control

Matteo Rubagotti, Tasbolat Taunyazov, Bukeikhan Omarali, Almas Shintemirov

Research output: Contribution to journalArticle

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 languageEnglish
Article number8718327
Pages (from-to)2746-2753
Number of pages8
JournalIEEE Robotics and Automation Letters
Volume4
Issue number3
DOIs
Publication statusPublished - Jul 1 2019

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Teleoperation
Autonomous Robots
Obstacle Avoidance
Model predictive control
Model Predictive Control
Collision avoidance
Remote control
Robot
Robots
Manipulators
Constraint Satisfaction
Robot Manipulator
Motion
Manipulator
Operator
Computational Complexity
End effectors
Testing
Interval
Mathematical operators

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

Cite this

Semi-Autonomous Robot Teleoperation with Obstacle Avoidance via Model Predictive Control. / Rubagotti, Matteo; Taunyazov, Tasbolat; Omarali, Bukeikhan; Shintemirov, Almas.

In: IEEE Robotics and Automation Letters, Vol. 4, No. 3, 8718327, 01.07.2019, p. 2746-2753.

Research output: Contribution to journalArticle

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