Motion planning for mobile agents, such as robots, acting in the physical world is a challenging task, which traditionally concerns safe obstacle avoidance. We are interested in p...
Real-time crowd motion planning requires fast, realistic methods for path planning as well as obstacle avoidance. In a previous work (Morini et al. in Cyberworlds International Con...
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute an expressive framework for multiagent planning under uncertainty, but solving them is provabl...
Frans A. Oliehoek, Matthijs T. J. Spaan, Shimon Wh...
We present an approach for automatically generating complete process plans, including xturing and CNC code, from high level shape feature part descriptions. The demonstration syst...
Mark Bloomenthal, Richard F. Riesenfeld, Elaine Co...
Planning iterations in software projects requires considering artifacts from different aspects such as requirements, specifications, tasks or even bug reports. UNICASE is a unifie...