Biomimetic and Biohybrid Systems: Third International by Armin Duff, Nathan F. Lepora, Anna Mura, Tony J. Prescott,

By Armin Duff, Nathan F. Lepora, Anna Mura, Tony J. Prescott, Paul F.M.J. Verschure

This ebook constitutes the court cases of the 3rd foreign convention on Biomimetic and Biohybrid platforms, dwelling Machines 2014, held in Barcelona, Spain, in July/August 2014. The 31 complete papers and 27 prolonged abstracts integrated during this quantity have been conscientiously reviewed and chosen from sixty two submissions. the subjects coated are mind established structures, lively sensing, delicate robotics, studying, reminiscence, keep watch over architectures, self-regulation, stream and locomotion, sensory structures and perception.

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Additional info for Biomimetic and Biohybrid Systems: Third International Conference, Living Machines 2014, Milan, Italy, July 30 – August 1, 2014. Proceedings

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Despite the vast amount of studies on the subject, there is still a niche that requires further investigation: underwater legged locomotion (ULL). While some biologists analyze aquatic animal walking and running [8], few robotic researchers work in this niche. Marine robotics involves mainly the study of swimming systems, such as remotely operated vehicles (ROVs) or autonomous underwater vehicles (AUVs), or more recently bioinspired fish [9] or cephalopods [10]. These robots usually work near submersed structures; they need to be accurately controlled to avoid damages to fragile surfaces or to the robot itself.

Segments] Fig. 3. Evolved spring parameters with wide bounds. Left: torsion springs. The plot highlights that without imposing the continuity of spring parameters results can be irregular, not biologically plausible, and difficult to interpret. Right: linear springs. The wing evolved in the tetrachloroethylene is more rigid (almost everywhere) than the one evolved in water. In this case resulting spring parameters are reasonably smooth. 30 V. Cacucciolo et al. Fig. 4. Comparison of wing profiles in two different instants.

Verschure in the system. This noise is clearly reflected in the trajectories of both the gain parameter and of the overall cost. We also note that although there is a general decrease in the cost during learning, it seems that all simulations reach the minimum value half-way through, and the final value achieved is slightly above that minimum. This result requires further investigation, but we hypothesize that besides stochastic fluctuation, there might be a problem of overfitting inherent to the scenario.

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