Learning local behavioral sequences to better infer non-local properties in real multi-robot systems
Taeyeong Choi,Sehyeok Kang,Theodore P. Pavlic,Taeyeong Choi,Sehyeok Kang,Theodore P. Pavlic
When members of a multi-robot team follow regular motion rules sensitive to robots and other environmental factors within sensing range, the team itself may become an informational fabric for gaining situational awareness without explicit signalling among robots. In our previous work [1], we used machine learning to develop a scalable module, trained only on data from 3-robot teams, that could pre...
