This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...
Supercomputers and clouds both strive to make a large number of
computing cores available for computation. More recently, similar objectives such as low-power, manageability at sc...
J. Appavoo, V. Uhlig, A. Waterland, B. Rosenburg, ...
— A distributed feedback control architecture that guarantees collision avoidance and destination convergence for multiple sphere world holonomic agents is presented. The well es...
Dimos V. Dimarogonas, Kostas J. Kyriakopoulos, Dim...
We analyze a class of mechanisms that locomote by switching between constraints. Because of the hybrid nature of such systems, most of the existing analysis tools, developed prima...
In this paper, we present a novel method for dynamic terrain in battlefield and an efficient plan to simulate crater in the battle. We explore a few methods for dynamic terrain sur...