— In this paper we address the problem of generating input plans to steer complex dynamical systems in an obstaclefree environment. Plans considered admit a finite description l...
Adriano Fagiolini, Luca Greco, Antonio Bicchi, Ben...
Resource envelopes provide the tightest exact bounds on the resource consumption and production caused by all possible executions of a temporally flexible plan. We present a new c...
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
— This paper provides a detailed analysis of the motion planning subsystem for the MIT DARPA Urban Challenge vehicle. The approach is based on the Rapidly-exploring Random Trees ...
Yoshiaki Kuwata, Gaston A. Fiore, Justin Teo, Emil...
Abstract— Real-world robotic environments are highly structured. The scalability of planning and reasoning methods to cope with complex problems in such environments crucially de...