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Updated: Jul 22, 2025

Operation of the Collaborative Composite Manufacturing CCM System
Published on: October 1, 2019
Compliant human-robot object transfer based on modular 3-axis force sensor for collaborative manufacturing
Hongliang Hua1, Zhenqiang Liao2, Yuhang Liu3
1School of Aeronautics and Mechanical Engineering, Changzhou Institute of Technology, Changzhou, Jiangsu 213032, PR China; School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, PR China.
This study introduces a compliant and cost-effective method for robot-human object transfer using a novel force sensor and control strategy. The system enhances safety and compliance in collaborative manufacturing environments.
Area of Science:
- Robotics
- Human-Robot Interaction
- Manufacturing Engineering
Background:
- Robot-human collaboration in manufacturing requires safe and compliant object transfer.
- Existing methods often lack the necessary sensitivity and adaptability for seamless interaction.
Purpose of the Study:
- To develop a cost-effective and compliant solution for object transfer between humans and robots.
- To enhance safety and efficiency in collaborative manufacturing tasks.
Main Methods:
- Proposed a novel modular 3-axis force sensor for interactive force sensing in grasping systems.
- Developed a compliant object transfer control strategy with incremental force control and gravity balance control modes.
- Fabricated a prototype underactuated grasping system integrated with the force sensor for experimental validation.
Main Results:
- Incremental force control mode demonstrated suitability for lighter objects requiring high interactive sensitivity.
- Gravity balance control mode proved effective for heavier objects, enabling quasi-static equilibrium and compliant transfer.
- The proposed control strategy significantly enhances object transfer compliance and safety.
Conclusions:
- The developed modular force sensor and dual-mode control strategy offer a versatile solution for human-robot object transfer.
- This approach has strong potential for improving safety and compliance in collaborative manufacturing settings.
- The findings pave the way for more integrated and intuitive human-robot collaboration.
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