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Whether teleoperated or autonomous, whole body movements like picking objects from the ground are challenging for humanoid robots. A UC San Diego paper introduces a framework that combines sim-to-real RL and trajectory optimization for adaptive, real-time whole body control.

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The Humanoid Hub

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27,879 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 11

Фото профиля The Humanoid Hub
The Humanoid Hub1 год назад

More details in this thread:

Фото профиля MightyBot
MightyBot1 год назад

🧠 Unified Search. Smarter Meetings. Effortless CRM. MightyBot is your AI agent platform for seamless workflows—record meetings, automate CRM updates, and find answers across apps in seconds. 🌟 Focus on what matters. We'll handle the grind.

Фото профиля 👉Nemo of Erehwon
👉Nemo of Erehwon1 год назад

I would call this shaky little guy "grandpa"

Фото профиля Sammy
Sammy1 год назад

Interesting 🦾

Фото профиля Joseph F Truncale
Joseph F Truncale1 год назад

I feel badly for the robot. Why? Is that common?

Фото профиля VentureMind AI
VentureMind AI1 год назад

Love it!

Фото профиля Tane
Tane1 год назад

If real people can't find a job, should countries around the world wholeheartedly develop AI/robots that replace people? Especially those jobs gradually replaced by AI/robots were executed by the broadest group of people (aka middle class) in the structure of human society.

Фото профиля Sandra Hope
Sandra Hope1 год назад

The dishwasher🤖

Фото профиля Growing Back to the Land
Growing Back to the Land1 год назад

Funny how the camera guy also feels those vibes.

Фото профиля Incelerator
Incelerator1 год назад

this things actuators/servos are fucking trash, its like this piece of shit has fucking Parkinson's disease FFS

Фото профиля CyberNetics
CyberNetics1 год назад

We're excited to see this UC San Diego framework! Combining sim-to-real RL with trajectory optimization sounds promising for smoother, adaptive humanoid robot movements. Can't wait to see how it tackles those tricky whole-body tasks!

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