Aspects of learning-based robot vision

Robots are now employed to carry out well-defined tasks in customized static environments, often at a high speed and an astonishing level of precision. However, these robots usually depend totally in their actions on a detailed control scheme developed in advance during an off-line planning phase. Due to recent progress in electronics and computing power, in control and agent technology, and in computer vision and machine learning, the development of autonomous robots capable of solving high-level deliberate tasks in natural environments can now be approached seriously. This article provides essential vision- and learning-related aspects for developing autonomous camera-equipped robot systems.