Information Integration for Robot Learning Using Neural Fuzzy Systems
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
Identification of a moving object's velocity with a fixed camera
Automatica (Journal of IFAC)
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From the Publisher:Control in Robotics and Automation has been written to meet the rapidly growing need for sensor-based integration to solve problems in the control and planning of robotic systems. Applications of these control methods range from assembly tasks in industrial automation to material handling in hazardous environments and servicing tasks in space. Many advances in a wide range of new applications in robotics and automation will depend on methods presented in this book, including robot-assisted surgery, space exploration, and micro-fabrication.