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The AMO (Adaptive Motion Optimization) project, developed by researchers at UC San Diego, introduces a novel framework for enhancing the dexterity and adaptability of humanoid robots. This system integrates simulation-to-real reinforcement learning with trajectory optimization to achieve real-time, adaptive whole-body control Video Credit: USD #engineering #technology #robotics #robots

Wevolver

56,631 subscribers

13,632 次观看 • 1 年前 •via X (Twitter)

科学技术新闻政治教育

Anya Rossi• Live Now

Private livecam show

9 条评论

elonomics 的头像

elonomics1 年前

Look like Optimus w Parkinson's

UserInterface 的头像

UserInterface2 年前

Unveiling the Future of Prompt Engineering for Better AI Interactions #tech

Scott with DigitalStacker.com 的头像

Scott with DigitalStacker.com1 年前

These will soon be as common as most household appliances! Very cool!!!

Data Science With Dennis 的头像

Data Science With Dennis1 年前

None of this is valuable until they can figure out the hands. We are still 10+ years away from widespread adoption of robots in the home.

D33PS33K 的头像

D33PS33K1 年前

Useless sloth.

André⚡🇺🇸⛩️ 的头像

André⚡🇺🇸⛩️1 年前

@paulbatistta

Brian Hanson 的头像

Brian Hanson1 年前

I wouldn’t be trusting him with grandma’s fine china yet

VentureMind AI 的头像

VentureMind AI1 年前

I’m faster 😎

Maggie 的头像

Maggie1 年前

Why so small?

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