Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
:This paper presents a trajectory planning algorithm for mobile robots which may be subject to kinodynamic constraints. Using computational methods from noncommutative harmonic ana...
Abstract—We present a distributed connectivity service that allows agents in a mobile ad-hoc network to move while preserving connectivity. This allows unmodified motion plannin...
Abstract. A novel interactive virtual needle insertion simulation is presented. The insertion model simulates three-degree-of-freedom needle motion, physically-based needle forces,...
The optimal motion generation problem is solved subject to various actuator constraints while the motion is constrained to an arbitrary path. The considered objective function is ...