This study investigates an optimization-based heuristic for the Robotic Cell Problem. This problem arises in automated cells and is a complex ow shop problem with a single transpo...
Jacques Carlier, Mohamed Haouari, Mohamed Kharbech...
-- In Grid collaborations, scientists use middleware to execute computational experiments, visualize results, and securely share data on resources ranging from desktop machines to ...
Weide Zhang, David Del Vecchio, Glenn S. Wasson, M...
Robots must complete their tasks in spite of unreliable actuators and limited, noisy sensing. In this paper, we consider the information requirements of such tasks. What sensing a...
Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...
Machine learning techniques are gaining prevalence in the production of a wide range of classifiers for complex real-world applications with nonuniform testing and misclassificati...