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Peg-in-Hole Assembly Based on Two-phase Scheme and F/T Sensor for Dual-arm Robot
Xianmin Zhang1,2, Yanglong Zheng3,4, Jun Ota5
1Guangdong Provincial Key Laboratory of Precision Equipment and Manufacturing Technology, South China University of Technology, Guangzhou 510640, China. zhangxm@scut.edu.cn.
This study introduces a two-phase assembly scheme for dual-arm robots, using force/torque sensors to mimic human-like precision in peg-in-hole tasks. The method successfully assembles components with tight clearances, demonstrating enhanced robotic dexterity.
Area of Science:
- Robotics
- Mechanical Engineering
- Assembly Automation
Background:
- Peg-in-hole assembly is a fundamental task in manufacturing and robotics.
- Achieving precise insertion with compliant robots, like the Baxter robot, is challenging due to positioning inaccuracies.
- Human-like dexterity and coordination are desired for complex assembly operations.
Purpose of the Study:
- To develop and validate a two-phase assembly scheme for a compliant dual-arm robot.
- To leverage force/torque sensing for precise control in peg-in-hole tasks.
- To enable robots to perform assembly with human-like performance.
Main Methods:
- A two-phase assembly scheme was implemented on a dual-arm Baxter robot.
- A six degrees-of-freedom (6-DOF) force/torque (F/T) sensor was utilized to derive real-time force and torque data.
- Active compliant control was applied to adjust the position and orientation of assembly components based on sensor feedback.
Main Results:
- The proposed scheme successfully addressed positioning inaccuracies in the compliant dual-arm robot.
- Experiments demonstrated the effectiveness and efficiency of the two-phase assembly approach.
- The robot achieved human-consistent performance in peg-in-hole assembly tasks.
- Successful assembly was achieved for both round and square pegs/holes with a 0.5 mm clearance.
Conclusions:
- The two-phase assembly scheme, combined with F/T sensing, significantly enhances the precision of compliant dual-arm robots.
- The developed method allows robots to replicate human-level dexterity in challenging assembly operations.
- This research contributes to more capable and adaptable robotic assembly systems.
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