Introduction to Neural Networks. CS-449: Neural Networks Fall 99 Instructor: Genevieve Orr Willamette University Lecture Notes prepared by Genevieve Orr, Nici Schraudolph, and Fred Cummins [Content][Links] Course content Summary Our goal is to introduce students to a powerful class of model, the Neural Network. We then introduce one kind of network in detail: the feedforward network trained by backpropagation of error. Lecture 1: Introduction Lecture 2: Classification Lecture 3: Optimizing Linear Networks Lecture 4: The Backprop Toolbox Lecture 5: Unsupervised Learning Lecture 6: Reinforcement Learning Lecture 7: Advanced Topics [Top] Review for Midterm: Links Tutorials: The Nervous System - a very nice introduction, many pictures Neural Java - a neural network tutorial with Java applets Web Sim - A Java neural network simulator. a book chapter describing the Backpropagation Algorithm (Postscript) A short set of pages showing how a simple backprop net learns to recognize the digits 0-9, with C code Reinforcement Learning - A Tutorial.
Walking Machine | Bioinspiration and Robotics Walking. Wallking Robots | Climbing and Walking Robots. Edited by Houxiang Zhang, ISBN 978-3-902613-16-5, 546 pages, Publisher: I-Tech Education and Publishing, Chapters published October 01, 2007 under CC BY-NC-SA 3.0 licenseDOI: 10.5772/47 With the advancement of technology, new exciting approaches enable us to render mobile robotic systems more versatile, robust and cost-efficient. Some researchers combine climbing and walking techniques with a modular approach, a reconfigurable approach, or a swarm approach to realize novel prototypes as flexible mobile robotic platforms featuring all necessary locomotion capabilities.
The purpose of this book is to provide an overview of the latest wide-range achievements in climbing and walking robotic technology to researchers, scientists, and engineers throughout the world. Different aspects including control simulation, locomotion realization, methodology, and system integration are presented from the scientific and from the technical point of view. Swarm Optimization | Swarm Intelligence. Edited by Felix T.S.
Chan and Manoj Kumar Tiwari, ISBN 978-3-902613-09-7, 548 pages, Publisher: I-Tech Education and Publishing, Chapters published December 01, 2007 under CC BY-NC-SA 3.0 licenseDOI: 10.5772/56938 In the era globalisation the emerging technologies are governing engineering industries to a multifaceted state. The escalating complexity has demanded researchers to find the possible ways of easing the solution of the problems. This has motivated the researchers to grasp ideas from the nature and implant it in the engineering sciences. This way of thinking led to emergence of many biologically inspired algorithms that have proven to be efficient in handling the computationally complex problems with competence such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), etc.
Rehabilitation Robotics. Edited by Sashi S Kommu, ISBN 978-3-902613-04-2, 648 pages, Publisher: I-Tech Education and Publishing, Chapters published August 01, 2007 under CC BY-NC-SA 3.0 licenseDOI: 10.5772/50 The coupling of several areas of the medical field with recent advances in robotic systems has seen a paradigm shift in our approach to selected sectors of medical care, especially over the last decade. Rehabilitation medicine is one such area. The development of advanced robotic systems has ushered with it an exponential number of trials and experiments aimed at optimising restoration of quality of life to those who are physically debilitated. Despite these developments, there remains a paucity in the presentation of these advances in the form of a comprehensive tool. Human Robot Interaction. Edited by Nilanjan Sarkar, ISBN 978-3-902613-13-4, 522 pages, Publisher: I-Tech Education and Publishing, Chapters published September 01, 2007 under CC BY-NC-SA 3.0 licenseDOI: 10.5772/51 Human-robot interaction research is diverse and covers a wide range of topics.
All aspects of human factors and robotics are within the purview of HRI research so far as they provide insight into how to improve our understanding in developing effective tools, protocols, and systems to enhance HRI. For example, a significant research effort is being devoted to designing human-robot interface that makes it easier for the people to interact with robots. HRI is an extremely active research field where new and important work is being published at a fast pace. It is neither possible nor is it our intention to cover every important work in this important research field in one volume. Medical Robots | Medical Robotics. Edited by Vanja Bozovic, ISBN 978-3-902613-18-9, 536 pages, Publisher: I-Tech Education and Publishing, Chapters published January 01, 2008 under CC BY-NC-SA 3.0 licenseDOI: 10.5772/54929 The first generation of surgical robots are already being installed in a number of operating rooms around the world.
Robotics is being introduced to medicine because it allows for unprecedented control and precision of surgical instruments in minimally invasive procedures. So far, robots have been used to position an endoscope, perform gallbladder surgery and correct gastroesophogeal reflux and heartburn. The ultimate goal of the robotic surgery field is to design a robot that can be used to perform closed-chest, beating-heart surgery. The use of robotics in surgery will expand over the next decades without any doubt.
Minimally Invasive Surgery (MIS) is a revolutionary approach in surgery. Chapter 1 The Learning Curve of Robot-Assisted Laparoscopic Surgery by E.