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Published on: August 15, 2016
A Whole-Body Coordinated Motion Control Method for Highly Redundant Degrees of Freedom Mobile Humanoid Robots
Hao Niu1, Xin Zhao1, Hongzhe Jin2
1School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China.
This study introduces a novel whole-body control algorithm for mobile humanoid robots, optimizing arm potential energy for smoother, human-like movements. The method effectively manages robot redundancy and enhances task performance in complex environments.
Area of Science:
- Robotics
- Artificial Intelligence
- Control Systems
Background:
- Mobile humanoid robots with wheeled chassis and dual arms are crucial for complex tasks in industrial and domestic settings.
- Bipedal walking limitations necessitate alternative configurations for enhanced mobility and task execution.
- High redundancy in these robots presents a significant challenge for coordinated motion control.
Purpose of the Study:
- To develop a whole-body coordinated motion control algorithm for mobile humanoid robots.
- To address the redundancy issue using arm potential energy optimization.
- To enable realistic and efficient humanoid movements through human arm modeling.
Main Methods:
- Constructed gravity and virtual torsional spring potential energy models for robot arms.
- Developed an optimization index function based on arm potential energy.
- Utilized a neural network with variable stiffness to mimic human arm properties.
- Employed a posture mapping method to translate human arm models to the robot.
- Integrated task-space and joint-space planning for comprehensive motion control.
Main Results:
- Validated the effectiveness of the proposed control algorithm through simulations.
- Demonstrated smooth motion and maintenance of a low potential energy state.
- Confirmed that robot movements align with human arm operational characteristics.
- Successfully executed tasks including single-arm manipulation, object retrieval, and dual-arm carrying.
Conclusions:
- The arm potential energy optimization approach effectively manages redundancy in mobile humanoid robots.
- The algorithm enables human-like movements, enhancing the robot's adaptability and performance.
- This method offers a promising solution for advanced humanoid robot control in diverse applications.
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