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Episode 6 14.03.2012
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How does a dead fish swim upstream, and what does that reveal about the hidden intelligence of body design? Maarja Kruusmaa explores the surprising physics of fish locomotion, lateral line sensing, and why propellers may not be the last word in underwater engineering.
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Kruusmaa challenges naive biomimetics, the tendency to copy everything from nature without understanding which features actually matter. She draws parallels to early propellers with feathers and cars with horse compartments, arguing that the real engineering challenge is identifying which biological principles are worth extracting. While propellers remain a mature and powerful technology, fish outperform them in energy efficiency and acoustic stealth, leaving almost no wake behind them. The key advantage lies in distributed actuation across hundreds of muscle fibers, something current motor technology cannot replicate at practical scales.
The conversation dives deep into fish swimming mechanics. Kruusmaa explains how swimming speed relates linearly to tail-beat frequency, while amplitude remains an independent variable. Fish control their propulsion primarily through stiffness modulation, which shifts resonance frequency and thereby changes amplitude. At cruising speed, fish use remarkably few anterior muscles while the rest of the body remains passive, explaining their extraordinary endurance. The discussion of a dead fish swimming upstream in George Lauder’s lab at Harvard illustrates how body morphology alone can generate propulsion in periodic turbulent environments, a striking example of morphological computation.
Kruusmaa introduces the concept of inverse biomimetics, using robotic fish as tools for biological discovery rather than just engineering products. Her work on artificial lateral line sensors demonstrates this approach: by selectively disabling parts of a robot’s sensory array, researchers can generate hypotheses about biological function that are difficult or impossible to test in living fish. The lateral line’s dual modality, measuring both flow velocity and pressure, enables fish to build complex hydrodynamic maps of their environment, a capability roboticists have barely begun to explore.
Tagged as:
biomimetic fish Dead Fish Fish Swimming Lateral Line lateral line sensing
About the author call_made
Both the triumphs of humanity and its most evil deeds have resulted from collaboration. In a time where humanity is required to aspire to the former and minimize the latter, the question arises of how collaboration arises and why it fails. Surprisingly, this phenomenon, so central to who we are, is not well understood. Hence, a collaborative effort is required to understand collaboration in its full biological, psychological, sociological, cultural, and economic complexity and to translate this understanding into operational impact. This series of podcasts is one step toward achieving these complementary goals. The Collaboration Podcast presents interviews with people who are central orchestrators of collaboration in various domains including business, government, science, art, health, sustainability, and the military. The discussions were conducted by Prof. Dr. Paul F.M.J. Verschure and members of the Program Advisory Committee of the Ernst Strungmann Forum on Collaboration (https://www.esforum.de/forums/ESF32_Collaboration.html) during 2021 and had the goal to sketch a map of opportunities, challenges, and obstacles in human collaboration. The forum took place in May 2022, and now we would like to share this series of interviews with a broader audience. The full report of the Forum will be published in 2023 by MIT Press. The podcast was produced by the Convergent Science Network (https://www.convergentsciencenetwork.org/). Context: The stability of social systems depends critically on realizing sustainable methods of “collaboration,” yet how and by which means collaboration is achieved is not clearly understood; neither are the conditions or processes that lead to its breakdown or failure. Collaboration can be understood as cooperation between agents toward mutually constructed goals. Part of the reason for our lack of understanding is that the phenomenon of collaboration is, by nature, a highly multidisciplinary problem, and effective research into its complexities has been difficult to achieve across the broad range of scientific and technical disciplines involved. The need for a fundamental understanding of collaboration, however, has become increasingly important. Not only does humankind demand answers as it attempts to address critical challenges at multiple scales (e.g., climate change, migration, enhanced automation, social and economic inequality), but ever-increasing technological and economic means of interconnecting people and societies are disrupting long-established, familiar patterns of how we interact. Radical technological changes that are ongoing have the potential to reshape collaboration in ways that are currently hard to predict or influence (e.g., by altering configurations in interaction, information creation, and modes of communication). On one hand, such changes could disrupt hitherto stable forms of collaboration by affecting critical communication channels and traditional roles, as can be observed in the rapidly changing patterns in governance, commerce, and social interaction. Conversely, technology could lead to the emergence of novel, successful forms of collaboration that deviate from traditional “hierarchical” architectures. Evidence of this can be seen in areas as diverse as highly automated manufacturing plants, the open science movement, collaborative software repositories, user-centered services, and the sharing of economy-based modes of organization. Without a fundamental understanding of the mechanisms, processes, and boundary conditions of collaboration, it is not possible to evaluate or predict which of these possible scenarios are sustainable or even plausible. The Forum “How Collaboration Arises and Why it Fails” (May 8–13, 2022, Location: Frankfurt am Main, Germany) Chairs: Andreas Roepstorff and Paul Verschure Program Advisory Committee: Jenna Bednar, Julia R. Lupp, Bhavani R. Rao , Andreas Roepstorff, Ferdinand von Siemens, and Paul Verschure
14.03.2012
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