Listeners:
Top listeners:
play_arrow
Paul Verschure on consciousness and distributed adaptive control CSN Podcasts
play_arrow
Edvard Moser on grid cells and entorhinal cortex CSN Podcasts
play_arrow
Giacomo Rizzolatti on mirror neurons and action understanding CSN Podcasts
play_arrow
Robert Axelrod on game theory and prisoner's dilemma CSN Podcasts
play_arrow
Adrian Owen on disorders of consciousness and vegetative state CSN Podcasts
play_arrow
Jonathan Whitlock on markerless motion capture and posterior parietal cortex CSN Podcasts
play_arrow
Luis Puelles on neuroanatomy and prosomeric model CSN Podcasts
play_arrow
Zoltan Molnar on subplate neurons and cortical development CSN Podcasts
Episode 9 14.03.2012
play_arrow
PLAY EPISODE
Can a robotic fish patrol harbors for pollution while swimming so quietly it never disturbs the marine life it protects? Huosheng Hu describes building fish robots that evolved from aquarium exhibits to autonomous ocean sentinels, alongside brain-controlled wheelchairs for people who cannot move.
Subscribe for more from the Convergent Science Network podcast series.
Hu traces his journey from industrial automation to biomimetic underwater robots, sparked when an aquarium needed robotic replicas of fish species that could not legally be displayed. His 60-centimeter robotic fish uses four to five discrete motor segments to replicate the S-wave swimming motion captured from real fish via camera analysis. The design includes a buoyancy system mimicking a fish bladder, a center-of-gravity shifting mechanism for depth changes, and sensors ranging from gyroscopes and accelerometers to obstacle-detecting infrared and flow-measuring antennae. An EU-funded project now deploys these robots to monitor ship oil leaks and pollution in ports up to 30 meters deep, using an underwater ultrasonic positioning system analogous to GPS.
The advantages over conventional submarine-style robots are significant: fish-like propulsion disturbs neither the environment nor pollution plumes, offers greater maneuverability in narrow passages, and theoretically exceeds the 60% efficiency ceiling of propeller-driven vessels. Safety features ensure that if the underwater positioning system fails, the fish surfaces to acquire satellite GPS and navigate home autonomously.
Hu’s parallel research on assistive robotics tackles mobility for people with severe disabilities. His brain-computer interface records EEG signals from the motor cortex as users imagine hand or leg movements, training neural networks to translate these patterns into wheelchair commands. Current systems achieve roughly 70% accuracy with healthy subjects after several hours of training, with online learning algorithms adapting to fluctuations in mental state. The wheelchair’s own laser scanners and ultrasound sensors provide a safety layer that overrides human commands when obstacles are detected, ensuring safe operation even if the user falls asleep or sends erroneous signals.
Tagged as:
Pollution robotic fish Robots Underwater underwater robotics
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
Exploring the convergence of neuroscience, robotics, and AI through conversations with leading researchers since 2010.
A project of the Convergent Science Network Foundation.
© CSN Podcasts. Developed by IMCreative & WEBC
✖
✖
Are you sure you want to cancel your subscription? You will lose your Premium access and stored playlists.
✖
Be the first to leave a comment