Abstract—We present a motion planning algorithm that computes rough trajectories used by a contact-points planner as a guide to grow its search graph. We adapt collision-free mot...
Abstract— Sampling-based algorithms have dramatically improved the state of the art in robotic motion planning. However, they make restrictive assumptions that limit their applic...
Abstract. In this paper we present an overview of the principle components of GIPO, an environment to support knowledge acquisition for AI Planning. GIPO assists in the knowledge f...
Abstract The goal of the proposed capacity planning tool is to provide the best cost/performance configuration for support of a known media service workload. There are two essenti...
Abstract. Argumentation-based formalisms provide a way of considering the defeasible nature of reasoning with partial and often erroneous knowledge in a given environment. This pro...