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Episode 4 14.03.2012
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Can algorithmic control ever match the adaptability of a lobster navigating the ocean floor? Neuroscientist and roboticist Joseph Ayers reveals why DARPA abandoned traditional approaches and how chaos-based neural controllers are reshaping biomimetic robotics.
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In this episode, Ayers explains why conventional algorithmic robot control fails in unpredictable environments. Drawing on decades of studying lobster neurophysiology, he describes how animals use chaotic variations in their neural networks to escape situations no programmer could anticipate. The fundamental problem: you cannot pre-program escape strategies for every possible scenario an autonomous robot might encounter in the real world.
Ayers walks through four generations of robotic lobsters built since 1998, each informed by biological discoveries. The latest generation replaces state machines with true central pattern generators built from discrete-time map-based neurons developed by Nikolai Rukov. These phenomenological neuron models capture spiking, bursting, and chaotic dynamics using just two control parameters, enabling hundreds of neurons and synapses to run on a single DSP chip in real time. The coordination between six walking legs emerges from governing and governed oscillators maintaining proper phase relationships.
The conversation explores how building robots reveals gaps in biological knowledge. Ayers describes discovering that lobsters likely rely on simple bump sensing rather than sophisticated joint proprioception, and how accelerometry-based comparisons between expected and actual movement patterns can detect when the robot is stuck. He details the sensory architecture of the lobster brain, from Wiersma’s classification of visual interneurons to the layered reflex systems that process optical flow, hydrodynamic flow, and obstacle contact. The discussion reveals how the robot-biology feedback loop generates new hypotheses about corollary discharge and motor control that can be tested in living animals.
Tagged as:
Ayers biomimetic robotics Lobster lobster robot
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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