Berkeley Humanoid: Revolutionising Learning-Based Control
The Berkeley Humanoid is a cutting-edge research platform for learning-based control. This lightweight, cost-effective humanoid robot excels in dynamic walking, hopping, and omnidirectional locomotion across challenging terrains. Designed with a narrow sim-to-real gap, it’s ideal for reinforcement learning applications, demonstrating robustness to falls and perturbations while maintaining high performance in dynamic tasks.
Location : Berkeley, USA
Categories : Others
Press Ask Flow below to get a link to the resource
Talk to Mentors
Related
-
85+ Free Generative AI Courses with New Agents Section
This updated GitHub repository now offers 85+ free courses on Generative AI, covering topics like LLM Basics, Prompt Engineering, RAG, Fin..
Others
-
A Must-Read Mathematics Book for Problem Solving & Proof Techniques
This 700-page mathematics book, trending on Hacker News, is an excellent resource for anyone looking to enhance their mathematical thinkin..
Others
-
Introductory Lecture on How to Build an LLM by Stanford
Stanford Online presents a new introductory lecture on how to build a Large Language Model (LLM). This lecture goes beyond the basics of t..
Others
-
Lecture on the Potential for AI in Science and Mathematics by Terence Tao
This video is ideal for AI enthusiasts, machine learning researchers, and tech professionals exploring AI's evolving capabilities. It offe..
Others
-
Compute Moonshots: Pushing the Boundaries of New Physics
Compute Moonshots is designed for innovators, tech entrepreneurs, and researchers focused on addressing global challenges through cutting-..
Others
