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Title: Planning for Robotic Dry Stacking with Irregular Stones
The ability to build structures with autonomous robots using only found, minimally processed stones would be immensely useful, especially in remote areas. Assembly planning for dry-stacked structures, however, is difficult since both the state and action spaces are continuous, and stability is strongly affected by complex friction and contact constraints. We propose a planning algorithm for such assemblies that uses a physics simulator to find a small set of feasible poses and then evaluates them using a hierarchical filter. We carefully designed the heuristics for the filters to match our goal of building stable, free-standing walls. These plans are then executed open-loop with a robotic arm equipped with a wrist RGB-D camera. Experimental results show that the proposed planning algorithm can significantly improve the state of the art in robotic dry stacking.
Authors:
; ;
Editors:
Ishigami, G; Yoshida, K
Award ID(s):
2054744 1846340
Publication Date:
NSF-PAR ID:
10321607
Journal Name:
Field and Service Robotics
Sponsoring Org:
National Science Foundation
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