Today's business processes are realized by a complex sequence of tasks that are performed
throughout an organization, often involving people from different departments and multiple …

For the last three years, we have developed and researched multiple collaborative robots,
CoBots, which have been autonomously traversing our multi-floor buildings. We pursue the …

Distributed autonomous robotic systems exhibit complex behavior that-although
programmed, but due to the impact of the environment-only materializes as the process …

One of the machine learning challenges posed by the robot soccer domain is to learn the
opponents strategies. A team that may be able to do it efficiently may have the advantage to …

In this paper we present an overview of CMDragons 2010, Carnegie Mellon's entry for the
RoboCup Small Size League. Our team builds upon the research and success of RoboCup …

In this paper we present an overview of CMDragons 2010, Carnegie Mellon's entry for the
RoboCup Small Size League. Our team builds upon the research and success of RoboCup …

Preparing for robot soccer competitions by empirically evaluating different possible game
strategies has been rather limited in leagues using real robots. Such limitation comes from …

Traditional motion planning focuses on the problem of safely navigating a robot through an
obstacle-ridden environment. In this thesis, we address the question of how to perform robot …

Controlling rigid body dynamic simulations can pose a difficult challenge when constraints
exist on the bodies' goal states and the sequence of intermediate states in the resulting …

CMDragons 2014 Team Description Page 1 CMDragons 2014 Team Description Joydeep
Biswas, Juan Pablo Mendoza, Danny Zhu, Steven Klee, and Manuela Veloso Carnegie Mellon …