Robust Task and Motion Planning for Long-Horizon Architectural Construction Planning
March 17, 2020 ยท Declared Dead ยท ๐ IEEE/RJS International Conference on Intelligent RObots and Systems
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Authors
Valentin N. Hartmann, Ozgur S. Oguz, Danny Driess, Marc Toussaint, Achim Menges
arXiv ID
2003.07754
Category
cs.RO: Robotics
Citations
43
Venue
IEEE/RJS International Conference on Intelligent RObots and Systems
Last Checked
2 months ago
Abstract
Integrating robotic systems in architectural and construction processes is of core interest to increase the efficiency of the building industry. Automated planning for such systems enables design analysis tools and facilitates faster design iteration cycles for designers and engineers. However, generic task-and-motion planning (TAMP) for long-horizon construction processes is beyond the capabilities of current approaches. In this paper, we develop a multi-agent TAMP framework for long horizon problems such as constructing a full-scale building. To this end we extend the Logic-Geometric Programming framework by sampling-based motion planning,a limited horizon approach, and a task-specific structural stability optimization that allow an effective decomposition of the task. We show that our framework is capable of constructing a large pavilion built from several hundred geometrically unique building elements from start to end autonomously.
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