tml.stanford.edu
tml.stanford.edu is HomeBody gives frontier vision-language models a humanoid embodiment through persistent spatial memory and composable skills, without environment-specific training or additional policy learning.. It is ranked #7028 on the AI Radar, in AI agents, first seen 41 days ago and shared in 17 posts (503.8k views).
HomeBody: A Humanoid That Explores, Remembers, and Acts on Its Own Skip to content Paper Code HomeBody: A Humanoid That Explores, Remembers, and Acts on Its Own Gio Huh 1,2 Cayden Gu 2 Takara E. Truong 2 C. Karen Liu 2,† Guy Tevet 2,† 1 Caltech 2 Stanford University † Equal advising September 2026 A common approach to humanoid autonomy follows a three-part architecture: a System 2 VLM processes visual observations and instructions, a learned System 1 VLA produces commands, and a System 0 controller executes coordinated motion. As frontier VLMs such as Astra become more capable, we ask whether a learned VLA is still needed between high-level…
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tml.stanford.edu in numbers
- Rank on the AI Radar: #7028 of 10412
- Shared in 17 posts by 17 accounts: @loomdoop
- 503.8k views on those posts
- First seen 41 days ago, last shared 38 days ago
- Pricing seen by AGK Intelligence: not stated
- Market: AI agents
FAQ
What is tml.stanford.edu?
HomeBody gives frontier vision-language models a humanoid embodiment through persistent spatial memory and composable skills, without environment-specific training or additional policy learning. It was first shared on X 41 days ago and is ranked #7028 on the AI Radar.
Is tml.stanford.edu free?
Pricing is not stated on the page we read.
Who shared tml.stanford.edu?
17 accounts on X, including @loomdoop, in 17 posts totalling 503.8k views.
Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 65.5k posts from 5k X accounts over the last 14 days, 10.4k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 16:50 UTC. Full method.