This work deals with trajectory optimization for a network of robotic sensors sampling a spatio-temporal random field. We examine the problem of minimizing over the space of networ...
In this paper the problem of positioning a team of mobile robots for a surveillance task in a non-convex environment with obstacles is considered. The robots are equipped with glob...
This paper describes a data set collected by MIT's autonomous vehicle Talos during the 2007 DARPA Urban Challenge. Data from a high precision navigation system, 5 cameras, 12 ...
Albert S. Huang, Matthew E. Antone, Edwin Olson, L...
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
Recent advances in surgical robotics have provided a platform for extending the current capabilities of minimally invasive surgery by incorporating both pre-operative and intra-ope...
Peter Mountney, Danail Stoyanov and Guang-Zhong Ya...