4.6 Article

Sensor-Guided Assembly of Segmented Structures with Industrial Robots

期刊

APPLIED SCIENCES-BASEL
卷 11, 期 6, 页码 -

出版社

MDPI
DOI: 10.3390/app11062669

关键词

robotic fixtureless assembly; industrial robot; segmented composite structures; vision guided motion; compliance force control; Robot Operating System (ROS)

资金

  1. Advanced Robotics for Manufacturing (ARM) Institute - Office of the Secretary of Defense [ARM-TEC-17-QS-F-01, W911NF-17-3-0004]
  2. New York State Empire State Development Division of Science, Technology and Innovation (NYSTAR) Matching Grant Program [C170141]

向作者/读者索取更多资源

This paper presents a robotic assembly methodology for the manufacturing of large segmented composite structures, which uses sensors and cameras for high-precision panel pick-up, placement, and transport. Human-assisted path planning ensures reliable motion of the robot, demonstrating the versatility of sensor-guided robotic assembly in complex tasks.
This paper presents a robotic assembly methodology for the manufacturing of large segmented composite structures. The approach addresses three key steps in the assembly process: panel localization and pick-up, panel transport, and panel placement. Multiple stationary and robot-mounted cameras provide information for localization and alignment. A robot wrist-mounted force/torque sensor enables gentle but secure panel pick-up and placement. Human-assisted path planning ensures reliable collision-free motion of the robot with a large load in a tight space. A finite state machine governs the process flow and user interface. It allows process interruption and return to the previous known state in case of error condition or when secondary operations are needed. For performance verification, a high resolution motion capture system provides the ground truth reference. An experimental testbed integrating an industrial robot, vision and force sensors, and representative laminated composite panels demonstrates the feasibility of the proposed assembly process. Experimental results show sub-millimeter placement accuracy with shorter cycle times, lower contact force, and reduced panel oscillation than manual operations. This work demonstrates the versatility of sensor guided robotic assembly operation in a complex end-to-end tasks using the open source Robot Operating System (ROS) software framework.

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