Robotic Renaissance Past, Present, Future of Bio Based Robotics
Research External Links
Biomimetics is the study of the structure and function of biological systems as models for the design and engineering of materials and machines. It is widely regarded as being synonymous with biomimcry,biomimesis, biognosis and similar to biologically inspired design.
Biomimetic Robots are biologically inspired robots. Non-human, biological based robotics are being popularly called Zoobotics.
The goal of neurotechnology is to confer the performance advantages of animal systems on robotic machines. Biomimetic robots differ from traditional robots in that they are agile, relatively cheap, and able to deal with real-world environments. The engineering of these robots requires a thorough understanding of the biological systems on which they are based, at both the biomechanical and physiological levels.
This book provides an in-depth overview of the field. The areas covered include myomorphic actuators, which mimic muscle action; neuromorphic sensors, which, like animal sensors, represent sensory modalities such as light, pressure, and motion in a labeled-line code; biomimetic controllers, based on the relatively simple control systems of invertebrate animals; and the autonomous behaviors that are based on an animal's selection of behaviors from a species-specific behavioral "library." The ultimate goal is to develop a truly autonomous robot, one able to navigate and interact with its environment solely on the basis of sensory feedback without prompting from a human operator.
Joseph Ayers is Director of the Marine Science Center and Associate Professor of Biology at Northeastern University.
Joel L. Davis is Program Officer, Cognitive, Neural, and Biomolecular Science and Technology Division, Office of Naval Research.
Alan Rudolph is Program Manager in the Defense Sciences Office at DARPA, the Defense Advanced Research Projects Agency.
The rich variety of mechanisms employed by swimming and flying organisms has long been an inspiration for engineers and scientists. Such is the range of nature's methods of locomotion that a whole new field of interdisciplinary collaboration on the possibility of utilizing this mechanical efficiency in better artificial mechanisms has developed. These areas of research, which form the basis of this volume, include the locomotive mechanisms of microorganisms, animals in flying and swimming, animal behavior models, and gill-breathing. The latest research into natural autonomous systems and locomotion in both flying and swimming organisms is reflected in the progress of interdisciplinary work in the fields of biology and engineering, yielding real-world benefits in better propulsion techniques. Finally, and at least as important as gains in mechanical efficiency, is the possibility that studying nature in motion may lead to new, environmentally friendly technologies.
Content Level » Research
Keywords »behavioral science - biofluid dynamics - biomechanics - biomimetic vehicle - microbiology
Chapter 1: An Engineering Perspective on Swimming Bacteria: High-Speed Flagellar Motor, Intelligent Flagellar Filaments, and Skillful Swimming in Viscous Environments, Y. Magariyama, S. Kudo, T. Goto, and Y. Takano.- Chapter 2: Euglena Motion Control by Local Illumination, A. Itoh.- Chapter 3: Thrust-Force Characteristics of Enlarged Propulsion Mechanisms Modeled on Eukaryotic Flagellar Movement and Ciliary Movement in Fluid, S. Kobayashi, K. Furihata, T. Mashima, and H. Morikawa.- Chapter 4: Resonance Model of the Indirect Flight Mechanism, H. Miyake.- Chapter 5: On Flow Separation Control by Means of Flapping Wings, K.D. Jones, M. Nakashima, C.J. Bradshaw, J. Papadopoulos, and M.F. Platzer.- Chapter 6: Outboard Propulsor with an Oscillating Horizontal Fin, H. Morikawa, A. Hiraki, S. Kobayashi, and Y. Muguruma.- Chapter 7: Three-Dimensional Maneuverability of the Dolphin Robot (Roll Control and Loop-the-Loop Motion), M. Nakashima, Y. Takahashi, T. Tsubaki, and K. Ono.- Chapter 8: Fundamental Study of a Fishllike Body with Two Undulating Side-Fins, Y. Toda, T. Suzuki, S. Uto, and N. Tanaka.- Chapter 9: Biology-Inspired Precision Maneuvering of Underwater Vehicles, N. Kato, H. Liu, and H. Morikawa .- Chapter 10: Optimal Measurement Strategies for Environmental Mapping and Localization of a Biomimetic Autonomous Underwater Vehicle, J. Guo, F.-C. Chiu, S.-W. Cheng, and P.-C. Shi.- Chapter 11: Experimental and Analytical Study of the Schooling Motion of Fish Based on Two Observed Individual Motions: Approaching Motion and Parallel Orienting Motion, Y. Inada, K. Kawachi, and H. Liu.- Chapter 12: Neural Basis of Odor-Source Searching Behavior in Insect Microbrain Systems Evaluated with a Mobile Robot, R. Kanzaki, S. Nagasawa, and I. Shimoyama.- Chapter 13: Architectures for Adaptive Behavior in Biomimetic Underwater Robots, J. Ayers.- Chapter 14: Efficiency of Biological and Artificial Gills, K. Nagase, F. Kohori, and K. Sakai.- Subject Index.
Wow! A mathematics book that combines multi desciplines: http://numerical-renaissance.com/
We just found and eagerly await their new book Reneissance Robotics (we discovered this on a random search !)
From their website:
Numerical Renaissance: simulation, optimization, & control
The zeitgeist of science and engineering in the twenty-first century is the integration of disciplines - that is, the bridging of the gaps between the formerly fragmented and distinct scientific disciplines, and the grappling with the many remaining grand challenge problems that lie at their intersection. There is thus an emerging need for educational institutions to distill and relate these scientific disciplines for the new generation of scientists who will ultimately accomplish their seamless integration. Towards this end, Professor Thomas Bewley has written Numerical Renaissance, which aims to provide a systematic, integrated, succinct presentation of efficient techniques for solving a wide range of practical problems on modern digital computers.
The text's unique treatment spans a number of essential subjects typically covered in separate graduate-level (and undergraduate-level) textbooks and courses, as indicated by the chapter titles listed below left. Rather than illustrating with ``pseudocode'', the many numerical algorithms developed in the text are provided directly in executable Matlab syntax, so the reader may experiment with them and adapt them to suit his or her own needs. A link to each of the executable codes in each chapter is provided below right.