Planning and control of ground vehicles are challenging because of complex dynamic interactions with the terrain. Therefore, accurate modeling of terrain interaction forces is …
This paper presents a novel sparse failure identification method along with rapid control reconstitution using deep neural networks for detecting and compensating for motor …
We present a new method to adapt an RGB-trained water segmentation network to target-domain aerial thermal imagery using online self-supervision by leveraging texture and motion …
This paper presents and discusses algorithms, hardware, and software architecture developed by the TEAM CoSTAR (Collaborative SubTerranean Autonomous Robots), competing in the …
We present a self-improving, neural tree expansionmethod for multi-robot online planning in non-cooperative environments, where each robot tries to maximize its cumulative reward …
Aircraft that can launch ballistically and convert to autonomous, free-flying drones have applications in many areas such as emergency response, defense, and space exploration, …