Motion planning in dynamic environments consists of the generation of a collision-free trajectory from an initial to a goal state. When the environment contains uncertainty, preven...
In current city visualisations crowds are being included to increase realism in the scene. With the self-steering nature of crowds it is traditionally difficult to control the nu...
—In greedy routing, each relay node forwards the message to a neighbor (also called successor) that is closer to the destination. However, the successor candidate set (SCS) is di...
In this paper we propose a model for human learning and decision making in environments of repeated Cliff-Edge (CE) interactions. In CE environments, which include common daily in...
We present here Extended Markov Tracking (EMT), a computationally tractable method for the online estimation of Markovian system dynamics, along with experimental support for its ...