Abstract
Humans are able to sense and respond to changes in the real world without an exact knowledge of sensory-to-motor transformation. By using visual feedback, we can pick up various new objects or tools and manipulate them easily to perform various visually guided tasks without an accurate knowledge of the kinematics and dynamics. This basic ability gives us a high degree of flexibility in dealing with unforeseen changes in the real world. Inspired by this natural phenomenon, much progress has been obtained in vision-based control of robots. This entry introduces the basic concepts in image-based robot control from a system control theory point of view.
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Cheah, C.C., Lyu, S. (2021). Image-Based Robot Control. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, Cham. https://doi.org/10.1007/978-3-030-44184-5_100153
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DOI: https://doi.org/10.1007/978-3-030-44184-5_100153
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