— By combining a low-order model of forecast errors, the extended Kalman filter, and classical continuous optimization, we develop an integrated methodology for planning mobile ...
— For a mobile robot it is critical to detect and compensate for slippage, especially when driving in rough terrain environments. Due to its highly unpredictable nature, drift la...
We present a novel approach for real-time path planning of multiple virtual agents in complex dynamic scenes. We introduce a new data structure, Multi-agent Navigation Graph (MaNG...
Avneesh Sud, Erik Andersen, Sean Curtis, Ming C. L...
Abstract— Service robots which directly interact with humans in highly unstructured, unpredictable and dynamic environments must be able to flexibly adapt their motion in reacti...
Abstract. Autonomous agents operating in complex dynamic environments need the ability to integrate robust plan execution with higher level reasoning. This paper describes work to ...
Simon Parsons, Ola Pettersson, Alessandro Saffiott...