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Luis Sentis on Muck Rack

Luis Sentis

Austin
As seen in: arXiv, Cell Press, MYSA, Mechanical Engineering Magazine, Laredo Morning Times, Dialnet - Universidad de La Rioja, Waco Tribune-Herald‎, Electronic Design
I am a professor in Human Centered Robotics at the University of Texas at Austin, Innovation Advisor and Founder of robotic companies.
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Articles

Computer Science > Robotics

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By Luis Sentis
| arXiv
Humanoid locomotion in highly confined environments requires navigating dense environmental obstacles and complex self-collision bounds while maintaining multi-contact dynamic feasibility. Traditional trajectory optimizers frequently struggle in these restricted spaces, as navigating the large collision space with splines on particle abstractions is insufficient and leads to poor local minima.
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Computer Science > Robotics

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By Stephen Welch, Luis Sentis, Bharath Masetty
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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A wireless forehead e-tattoo for mental workload estimation

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By Heeyong Huh, Hyonyoung Shin, Hongbian Li, Kazuma Hirota, Matthew D’Alessandro, Luis Sentis, Nanshu Lu, Carolyn Hoang, Shrikar Thangavel, Kathryn A. Feltman
| Cell Press Verified
Keywords e-tattoo EEG EOG mental workload N-back cognitive load wearable EEG forehead EEG Device Translation and Integration DTI-4: Validate Introduction Human mental workload is a crucial factor in the fields of human-machine interaction and ergonomics due to its direct impact on human cognitive performance.
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