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Links 1 through 10 of 136 Kannan's Bookmarks

The key goal of our discipline is to create robots that can operate in and interact with the world in the same complex ways as humans. Our research in this area has practical applications in industries like agriculture and neuroscience, and will lead to robots that can understand complex and unstructured real-world environments.

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IRIS develops industrial applications of non-contact inspection systems based on computer vision, ultrasonics, optics and capacitive sensing that offer efficiency and productivity gains for manufacturing operations. A combination of novel sensing approaches and artificial intelligence techniques; e.g., fuzzy neural systems, neural networks, genetic algorithms and support vector machines, are used to implement real time monitoring and control of discrete processes for manufacturing industries.

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Robotics and Automation Laboratory at the University of Western Australia, Perth has been active for over a decade doing research on all types of autonomous mobile robots, including intelligent driving and walking robots, autonomous underwater vehicles, and unmanned aerial vehicles. Also work on the design of embedded controllers and embedded operating systems, as well as on simulation systems.

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Robotics at the University of Queensland focuses on the interdisciplinary design of robust autonomous systems for dynamic environments, through the synthesis of mechanical, electronic, software, and control engineering.

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Our vision is to develop persistently autonomous and robust, heterogeneous vehicle systems that are capable of successfully collaborating in achieving a set mission, while demonstrating resilience to unforeseen circumstances. We thrive to carry out applied robotics research to help us advance towards achieving our goal.

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The Australian Centre for Field Robotics (ACFR) is based in the School of Aerospace, Mechanical and Mechatronic Engineering at The University of Sydney, and is dedicated to the research, development, application and dissemination of autonomous and intelligent robots and systems for operation in outdoor environments.

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Pylearn2 is a machine learning library. Most of its functionality is built on top of Theano.

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Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you many of the core concepts behind neural networks and deep learning.

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A pertty simple Python neural network library.

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Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language and human motion, etc.

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