Biological Visuo-Motor Control
Movement of higher biological organisms is the result of information processing in a complex hierarchy of motor centers within the nervous system. To date, there is still no general consensus about how biological neural networks actually generate voluntary movement. Neurophysiological studies, on one side, provide the essential data on which a top down modelling approach can be based. On the other side, there is the engineering discipline of robotics which seeks to design robust and adaptible robotic systems, often under the perspective of a specific task. In contrast to biology, robotic control applications based on artificial neural networks are, to a large extent, still confined to systems capable of performing simple sensory-to-motor transformations.
A detailed account of this work can be found in the following publications:
Biological visuo-motor control of a pneumatic robot arm. Michael Zeller, K. R. Wallace, and Klaus Schulten. In Dagli et al., editors, Intelligent Engineering Systems Through Artificial Neural Networks, volume 5, pp. 645-650, New York, 1995. American Society of Mechanical Engineers.
Topology representing network for sensor-based robot motion planning. Michael Zeller, Rajeev Sharma, and Klaus Schulten. In Proceedings of the 1996 World Congress on Neural Networks, pp. 100-103. INNS Press, 1996.