4 accepted papers
Insect-scale micro-aerial vehicles (MAV) are becoming increasingly important for sensing and mapping spatially constrained environments. However, achieving untethered flight powered by a small and lightweight on-board energy source remains a challenge. In this study, we successfully demonstrated the
Cooperative transportation via multiple aerial robots has the potential to support various payloads and reduce the chances of them being dropped. Furthermore, autonomously controlled robots render the system scalable with respect to the payload. In this study, a cooperative transportation system was…
Cooperative transportation by multi-aerial robots has the potential to support various payloads and improve fail- safe against dropping. Furthermore, changing the attachment positions of robots according payload characteristics increases the stability of transportation. However, there are almost no…
In this paper, we explore a multi-agent reinforcement learning approach to address the design problem of communication and control strategies for multi-agent cooperative transport. Typical end-to-end deep neural network policies may be insufficient for covering communication and control; these metho…