Learning Enabled Fast Planning and Control in Dynamic Environments with Intermittent Information
Matthew Cleaveland,Esen Yel,Yiannis Kantaros,Insup Lee,Nicola Bezzo,Matthew Cleaveland,Esen Yel,Yiannis Kantaros,Insup Lee,Nicola Bezzo
This paper addresses a safe planning and control problem for mobile robots operating in communication- and sensor-limited dynamic environments. In this case the robots cannot sense the objects around them and must instead rely on intermittent, external information about the environment, as e.g., in underwater applications. The challenge in this case is that the robots must plan using only this sta...
