✉news TechnologyRobotics first seen 4 d ago, last 3 d ago, peak #5
Zero-HLM trains humanoid robots without real-world data
Original: Zero-HLM: Generalizable Humanoid Loco-Manipulation without Real Robot Data
A new research paper, Zero-HLM, presents a method for humanoid robot loco-manipulation that generalizes to real-world tasks without requiring any real robot training data. The approach relies on simulation-based training instead of physical hardware trials, which could cut the cost and time of developing humanoid control systems. The paper is circulating among robotics researchers discussing how far simulation-only training can go.
Why now: It is a newly released robotics paper offering a potentially cheaper path to humanoid robot skills without costly real-world data collection.
Zero-HLMhumanoid robotsalphaXiv
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