Drew Threatt

Do More with Less: Single-Model, Multi-Goal Architectures for Resource-Constrained Robots

Deep learning methods are widely used in robotic applications. By learning from prior experience, the robot can abstract knowledge of the environment, and use this knowledge to accomplish different goals, such as object search, frontier exploration, or scene understanding, with a smaller amount of r…