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Updated: Sep 2, 2025

Operation of the Collaborative Composite Manufacturing CCM System
Published on: October 1, 2019
Collision-free trajectory planning for robotic assembly of lightweight structures
Jiangpeng Shu1,2,3, Wenhao Li1, Yifan Gao1
1College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China.
Abstract:
This research presents a trajectory planning approach for robotic assembly of lightweight structures for COVID-19 healthcare facilities. The prefabricated building components of COVID-19 healthcare facilities have nonnegligible volume, where the crux of the scientific question lies in how to incorporate geometry-based collision checks in trajectory planning. This research developed an algorithm that refines the RRT* (Rapidly-exploring Random Tree-Star) algorithm to enable the detour of a planned trajectory based on the geometry of prefabricated components to prevent collisions. Testing of the approach reveals that it has satisfactory collision-avoiding and trajectory-smoothing performance, and is time- and labour-saving compared with the traditional human method. The satisfactory results highlight the practical implication of this research, where robots can replace human labour and contribute to the mitigation of COVID-19 spread on construction sites. The subsequent research will investigate the use of a collaborative robot to screw bolt connections after the components are assembled at locations.
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