A lifelong learning perspective for mobile robot control . Since this paper was submitted, EBNN was successfully applied to a variety of realworld learning tasks. O Sullivan et al. A lifelong learning perspective for mobile robot control . The AAAI competition ended an initial six month period of software design.
Rhino operates completely autonomously.
In the future, Rhino shall operate 24 hours a day, interrupted only by battery charging. We are currently implementing various learning techniques that allow Rhino to adapt to new situations, and to acquire new skills necessary for achieving a broad variety of tasks. A lifelong learning perspective for mobile robot control . The AAAI competition ended an initial six month period of software design. A lifelong learning perspective for mobile robot control .