In an adversarial multi-robot task, such as playing robot soccer, decisions for team and single-robot behaviour must be made quickly to take advantage of short-term fortuitous …
Coordinated action for a team of robots is a challenging problem, especially in dynamic, unpredictable environments. Robot soccer is an instance of a domain where well defined …
J Bruce, M Veloso - … on Robotics and Automation (Cat. No …, 2003 - ieeexplore.ieee.org
Fast pattern detection and identification is fundamental problem for many applications of real- time vision systems. The desirable characteristics for a solution are that it requires little …
T Gunn, J Anderson - Journal of Computer and System Sciences, 2015 - Elsevier
Much work on coalition formation and maintenance exists from the standpoint of abstract agents. This has not yet translated well to robot teams, however: most multi-robot research …
JR Bruce, MM Veloso - Proceedings of the IEEE, 2006 - ieeexplore.ieee.org
This paper introduces a refinement of the classical sense-plan-act objective maximization method for setting agent goals, a real-time randomized path planner, a bounded …
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 …
WH Hung, CW Liu, CJ Liang, SC Kang - Automation in Construction, 2016 - Elsevier
The current crane erection path computation methods are not easily scalable for assisting engineers to find and evaluate detailed erection plans. A reliable and efficient method to …
A Amit, S Markovitch - Machine Learning, 2006 - Springer
Bridge bidding is considered to be one of the most difficult problems for game-playing programs. It involves four agents rather than two, including a cooperative agent. In addition …
JR Bruce - Ph. D. dissertation, 2006 - apps.dtic.mil
All mobile robots share the need to navigate, creating the problem of motion planning. In multi-robot domains with agents acting in parallel, highly complex and unpredictable …