In this work we present a methodology for intelligent path planning in an uncertain environment using vision like sensors, i.e., sensors that allow the sensing of the environment ...
This paper summarizes recent work reported at ICAPS on applying artificial intelligence techniques to the control of production printing equipment. Like many other real-world appl...
Current state-of-the-art planners solve problems, easy and hard alike, by search, expanding hundreds or thousands of nodes. Yet, given the ability of people to solve easy problems...
We propose a framework for reactive motion and sensing planning based on critical events. A critical event amounts to crossing a critical curve, which divides the environment. We h...
Rafael Murrieta-Cid, Alejandro Sarmiento, Teja Mup...
In this paper, we present a general technique for taking forward-chaining planners for deterministic domains (e.g., HSP, TLPlan, TALplanner, and SHOP2) and adapting them to work i...