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Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms
Published on: August 15, 2016
Winching up heavy loads with a compliant arm: a new local joint controller
Axel Schneider1, Holk Cruse, Josef Schmitz
1Mechatronics of Biomimetic Actuators, Faculty of Technology, University of Bielefeld, P.O. Box 10 01 31, 33501 Bielefeld, Germany. axel.schneider@uni-bielefeld.de
This study introduces power-controlled relaxation LPVF, a novel bio-inspired control system for compliant manipulators. It enables contour following in constrained tasks, even against opposing forces, without complex sensors or central controllers.
Area of Science:
- Robotics
- Biomimetic Control
- Mechanical Engineering
Background:
- Constrained movement tasks, common in robotics, often rely on complex central controllers and force-torque sensors.
- Existing methods for contour following in compliant manipulators can be limited, especially when facing counteracting forces.
Purpose of the Study:
- To introduce and evaluate a new decentralized control system, power-controlled relaxation LPVF, for compliant manipulators performing constrained movement tasks.
- To demonstrate the system's ability to overcome significant opposing forces during contour following.
Main Methods:
- Developed a control system inspired by stick insect locomotion, utilizing decentralized joint controllers with local positive velocity feedback (LPVF).
- Extended LPVF by incorporating local mechanical power measurement to create power-controlled relaxation LPVF.
- Tested the system on a two-joint compliant manipulator performing a crank-turning task to winch a weight.
Main Results:
- The power-controlled relaxation LPVF successfully enabled contour following in a constrained crank-turning task.
- The system demonstrated robustness against considerable counter forces dragging the manipulator along the contour.
- The control approach eliminated the need for kinematic knowledge or end-point force/torque sensing.
Conclusions:
- Power-controlled relaxation LPVF offers an effective, decentralized solution for compliant manipulators in constrained tasks.
- This bio-inspired approach simplifies robotic control by removing the need for complex sensing and central coordination.
- The method shows promise for applications requiring precise and robust manipulation in challenging environments.
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