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Episode 2 14.03.2012
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How does a lobster find food in a turbulent ocean where chemical signals vanish for minutes at a time , and what can a robot lobster teach us about the strategies that work and fail? Frank Grasso explores the neuroscience of olfactory search through biomimetic robotics. Subscribe for more from the Convergent Science Network podcast series. Frank Grasso studies “crunchies and squishies”, lobsters and octopuses, not because they resemble us, but precisely because they do not. These animals face the same physical challenges as vertebrates but solve them with completely different brain and body architectures, revealing the true design space for adaptive behavior. His laboratory at Brooklyn College builds robot models of these animals, tests them under identical conditions to the real organisms, and uses the animal’s performance as a yardstick for evaluating hypotheses about neural control. The lobster work centers on olfactory search in turbulent water. Seventy percent of the lobster brain is dedicated to olfactory processing, and its chemical sensors are extraordinarily sensitive , capable of detecting concentrations equivalent to a teaspoon of rose water dissolved in Lake Champlain. But the real challenge is not sensitivity; it is intermittency. Even directly within a chemical plume, sensors may detect nothing for minutes at a time, punctuated by staccato bursts of odor pulses. Grasso’s team measured these environments directly and found that the temporal structure of the signal, its rhythm and patterning, carries spatial information that pure concentration measurements cannot provide. When robot lobsters equipped with biologically matched sensors were tested using algorithms that biologists had proposed for a century, the robots failed dramatically. Simple chemotaxis strategies that work in smooth gradients collapse in turbulent plumes. Adding flow-sensing information improved performance, but only in specific regions of the plume. The robots revealed that different distances from the source present qualitatively different information landscapes, requiring different strategies , a finding that would have been difficult to establish from animal observation alone. The octopus work addresses a different frontier: controlling a body with no hard parts. Octopus arms are muscular hydrostats , enclosed bags of water that reshape themselves through muscle-against-muscle contraction, with no skeleton at all. Three-fifths of the octopus’s half-billion neurons reside outside the central brain, distributed in a brachial plexus that may allow arms to negotiate with each other rather than requiring centralized executive control. Combined with the animal’s exceptional learning abilities , possibly an adaptation to both a complex body and exponential growth from milligrams to 90 kilograms in a single year , the octopus represents a radically different solution to the problem of embodied intelligence.
Tagged as:
biomimetic robotics Lobster lobster olfaction octopus Olfactory Search Turbulent
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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