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Mechanical Design and Control Strategy for Hip Joint Power Assisting
1College of Engineering, Peking University, Beijing 100870, China.
Journal of Healthcare Engineering
|September 7, 2018
Summary
This study introduces a novel assistive system using a 3-UPS parallel mechanism to align with human joint movements. Force sensing detects user intention, enabling effective power assistance for enhanced human-robot interaction.
Area of Science:
- Robotics
- Biomechanics
- Human-Robot Interaction
Background:
- Developing effective assistive systems requires precise mechanical design and control strategies that adapt to human biomechanics.
- Existing systems often struggle to seamlessly integrate with natural human joint movements, limiting their assistance capabilities.
Purpose of the Study:
- To design and validate an assistive system capable of matching human joint movement centers.
- To develop a control strategy based on interactive forces for intuitive human-robot collaboration.
- To verify the feasibility of movement intention detection and power assistance.
Main Methods:
- A 3-UPS parallel mechanism was employed to ensure the assistive system's instantaneous rotation center aligns with the human joint's center.
- A force sensory system was integrated to detect human movement intention.
- A control strategy model was established based on the detected interactive forces.
- An experimental platform was constructed to validate the system's performance.
Main Results:
- The study successfully demonstrated the alignment of the assistive system's rotation center with human joint movement.
- The force sensory system effectively detected human movement intentions.
- Experimental results validated the feasibility of the proposed movement intention detection and power assisting strategies.
Conclusions:
- The 3-UPS parallel mechanism is suitable for creating assistive systems that synchronize with human joint movements.
- Interactive force-based control strategies are effective for detecting user intention and providing power assistance.
- The developed system shows promise for enhancing human-robot interaction in assistive applications.
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