A model-free, biologically-motivated learning and control algorithm called S-learning is described as implemented in an Surveyor SRV-1 mobile robot. S-learning demonstrated learni...
Brandon Rohrer, Michael Bernard, J. Daniel Morrow,...
– In this paper, we present a general mathematical foundation of hormone-inspired control for the selfreconfigurable robotic system. Problem considered here is the lack of a math...
This paper addresses the issues related to the decision processes of manufacturing system simulation. The manufacturing system is perceived in terms of intelligent entities capabl...
— In the real world, noisy sensors and limited communication make it difficult for robot teams to coordinate in tightly coupled tasks. Team members cannot simply apply single-ro...
Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jef...
Flexible general purpose robots need to tailor their visual processing to their task, on the fly. We propose a new approach to this within a planning framework, where the goal is ...