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Sponberg,
Simon
Sponberg,
Simon
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ItemRaw data for article: "Moth resonant mechanics are tuned to wingbeat frequency and energetic demands"(Georgia Institute of Technology, 2023-12) Wold, Ethan ; Aiello, Brett ; Harris, Manon ; bin Sikandar, Usama ; Lynch, James ; Gravish, Nick ; Sponberg, SimonRaw data accompanying the article "Moth resonance mechanics are tuned to wingbeat frequency and energetic demands".
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ItemRaw mechanical testing data for article "Structural damping renders the hawkmoth exoskeleton mechanically insensitive to non-sinusoidal deformations"(Georgia Institute of Technology, 2023) Wold, Ethan S. ; Lynch, James ; Gravish, Nick ; Sponberg, Simon
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ItemRaw physiology data for article "Biophysical transitions in insect flight dynamics are bridged by common muscle physiology"(Georgia Institute of Technology, 2022) Sponberg, Simon ; Gau, Jeff ; Lynch, James ; Aiello, Brett ; Wold, Ethan ; Gravish, Nick
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ItemThe Science Behind Animal-Inspired Robotics(Georgia Institute of Technology, 2014-11-10) Sponberg, SimonThe 21st Century has seen an explosion of bio-inspired technology and devices. Perhaps no where has this approach been more transformative than in the field of mobile robotics. Geckos, snakes, and even cockroaches have motivated new sticky, stable, steerable robots. Yet inspiration means more than curiosity. As scientists we must unravel the scientific principles and mechanisms underlying animal performance. By studying the physics of these living systems we can inform a systematic approach to animal-inspired robotics. By doing so, we discover new properties and dynamics of complex systems -- the robots themselves even become experimental platforms to test hypotheses. We can learn the pitfalls of ignoring the evolutionary context that shaped animal locomotion and the power of non-dimensional ratios that scale across biology. In this talk, we will first explore how human technology is taking on more characteristics for which the natural world is a better teacher. We will then use several examples over the past decade of robotics research where animals have served as the inspiration, but where identification of the underlying physics has led to innovation. Finally we will discuss how new bio-physical insights emerged from studying the resulting robots as physical models for the biological systems.