Despite the scalability, availability and resiliency potential suggested by Distributed Hash Tables, their lack of support for replication of mutable data and for strong consisten...
Ben Temkow, Anne-Marie Bosneag, Xinjie Li, Monica ...
— This paper presents work on sensor-based motion planning in initially unknown dynamic environments. Motion detection and modeling are combined with a smooth navigation function...
— We present an efficient, anytime method for path planning in dynamic environments. Current approaches to planning in such domains either assume that the environment is static ...
Abstract. Addressing dynamic optimization problems has been a challenging task for the genetic algorithm community. Over the years, several approaches have been developed into gene...
Abstract. Research in many fields of AI, such as distributed planning and reasoning, agent teamwork and coalition formation, cooperative problem solving and action theory has adva...
This paper investigates the utilization of the master-slave (MS) paradigm as an alternative to domain decomposition (DD) methods for parallelizing lattice gauge theory (LGT) model...
Abstract— The Rapidly-exploring Random Tree (RRT) algorithm has found widespread use in the field of robot motion planning because it provides a single-shot, probabilistically c...
Matthew Zucker, James J. Kuffner, Michael S. Brani...
— Addressing dynamic optimization problems has attracted a growing interest from the evolutionary algorithm community in recent years due to its importance in the applications of...
— In recent years, several approaches have been developed for genetic algorithms to enhance their performance in dynamic environments. Among these approaches, one kind of methods...
— We address the problem of real-time navigation in dynamic environments for car-like robots. Our approach generalizes the concept of velocity obstacles, which have been used for...