— We present an agent-based framework for the development of distributed applications for a team of heterogenous mobile robots. The main goal is to ease the development of cooper...
A key problem in playing strategy games is learning how to allocate resources effectively. This can be a difficult task for machine learning when the connections between actions a...
— In this paper, we present an approach that allows a robot to observe, generalize, and reproduce tasks observed from multiple demonstrations. Motion capture data is recorded in ...
Numerous techniques exist to help users automate repetitive tasks; however, none of these methods fully support enduser creation, use, and modification of the learned tasks. We pr...
Aaron Spaulding, Jim Blythe, Will Haines, Melinda ...
Abstract— Autonomous mobile robots are deployed in a variety of application domains, resulting in scenario specific implementations. However these systems share common component...