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Abstract: We present a framework for sensor-based motion planning of robotic manipulators using a topology representing network (TRN). Exploiting the perfectly topology preserving features of the network, the algorithm learns the representation of the Perceptual Control Manifold (PCM), a recently introduced concept for motion planning. This concept allows sensors to be integrated into robot motion planning. Besides a demonstration of the technical feasibility of motion planning through perfectly... (Update)
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BibTeX entry: (Update)
Zeller, M., Sharma, R., and Schulten, K. (1996). Topology representing network for sensor-based robot motion planning. 12 http://citeseer.ist.psu.edu/zeller96topology.html More
@misc{ zeller96topology,
author = "M. Zeller and R. Sharma and K. Schulten",
title = "Topology representing network for sensor-based robot motion planning",
text = "Zeller, M., Sharma, R., and Schulten, K. (1996). Topology representing
network for sensor-based robot motion planning. 12",
year = "1996",
url = "citeseer.ist.psu.edu/zeller96topology.html" }
Citations (may not include all citations):625 Kluwer Academic Publishers (context) - Latombe, planning - 1991
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