Abstract
Methods and systems are provided for belief space planning for multiple robots at an initial belief state, for reducing belief space uncertainty, including receiving multiple, candidate, multi-robot paths, each including one or more pose constraints; generating a candidate factor graph for each candidate multi-robot path, and generating from each candidate factor graph a topology graph; calculating a signature metric from each topology graph, wherein the signature metric is one of a Von Neumann (VN) metric and a spanning tree (ST) metric; selecting a multi-robot path having the greatest signature metric from among the candidate, multi-robot paths; and instructing the multiple robots to proceed according to the selected multi-robot path.
Original language | American English |
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Patent number | US2020272171 |
IPC | G05D 1/ 02 A I |
Priority date | 24/02/20 |
State | Published - 27 Aug 2020 |