TL;DR
This paper introduces a unified automated planning method for sequencing and motion planning in robotic additive construction of bar structures, enhancing efficiency, safety, and design flexibility.
Contribution
It presents a generalized approach that simultaneously plans construction sequences and robot motions, applicable to various additive manufacturing processes like extrusion and bar assembly.
Findings
Successfully applied to simulated and real-world tasks
Enabled planning for complex double tangent bar system
Demonstrated effectiveness on a human-scale prototype
Abstract
Additive robotic construction of building-scale discrete bar structures, such as trusses and space frames, is increasingly attractive due to the potential improvements in efficiency, safety, and design possibilities. However, programming complex robots, such as manipulators with seven degrees of freedom, to successfully complete construction tasks can be tedious, challenging, or impossible for a human to do manually. Namely, the structure must be constructed in a sequence that preserves structural properties, such as stiffness, at each step. At the same time, this sequence must allow for the robot to precisely manipulate elements within the in-progress structure while respecting geometric constraints that, for example, ensure the robot does not collide with what it has built. In this work, we present an automated and newly generalized planning approach for jointly finding a construction…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
