Increasing the level of spacecraft autonomy is essential for broadening the reach of solar system exploration. Computer vision has and will continue to play an important role in in...
Larry Matthies, Mark W. Maimone, Andrew Edie Johns...
Motion planning for mobile agents, such as robots, acting in the physical world is a challenging task, which traditionally concerns safe obstacle avoidance. We are interested in p...
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Abstract— This paper describes a new non-invasive brainactuated wheelchair that relies on a P300 neurophysiological protocol and automated navigation. In operation, the subject f...
— We present an approach to path planning for manipulators that uses Workspace Goal Regions (WGRs) to specify goal end-effector poses. Instead of specifying a discrete set of goa...
Dmitry Berenson, Siddhartha S. Srinivasa, Dave Fer...