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Josua Spisak on Muck Rack

Josua Spisak

As seen in: Science Magazine
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Articles

BeyondMimic: From motion tracking to versatile humanoid control via guided diffusion

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By Qiayuan Liao, Mingshi Chi, Josua Spisak, Takara Truong, Xiaoyu Huang, Yuman Gao, Guy Tevet, Koushil Sreenath, C. Liu
| Science Magazine Verified
Abstract INTRODUCTION RESULTS DISCUSSION MATERIALS AND METHODS Acknowledgments Supplementary Materials REFERENCES AND NOTES Information & Authors Metrics & Citations View Options References Figures Tables Media Share This article has 0 eLetter . Abstract The humanlike form of humanoid robots uniquely positions them to achieve the agility and versatility in motor skills that humans have. Learning from human demonstrations offers a scalable approach to acquiring these capabilities.
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Robot in a crib: How a playing robot helps us understand sensorimotor contingency learning

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By Qiayuan Liao, Mingshi Chi, Josua Spisak, Sergiu Tcaci Popescu, Lukas Rustler, Stefan Wermter, Matej Hoffmann, J. Kevin O’Regan
| Science Magazine Verified
Abstract Supplementary Materials REFERENCES AND NOTES Information & Authors Metrics & Citations Check Access References Figures Tables Media Share This article has 0 eLetter . Abstract Learning sensorimotor contingencies—that is, the link between one’s actions and their sensory effects—is fundamental to developing body knowledge, understanding causality, and developing a sense of agency.
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From acrobatics to generality: Humanoid robots at an inflection point

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By Hae-Won Park, Qiayuan Liao, Mingshi Chi, Josua Spisak
| Science Magazine Verified
Abstract Information & Authors Metrics & Citations View Options References Figures Tables Media Share This article has 0 eLetter . Abstract This special issue examines what it takes to move humanoids beyond task-specific demonstrations toward dependable generality. SIGN UP FOR THE AWARD-WINNING SCIENCEADVISER NEWSLETTER The latest news, commentary, and research, free to your inbox daily Sign up Recent years have seen remarkable advances in the capabilities of humanoid robots.
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