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Vision-language models can control robots, but what if the prompt is too complex for the robot to follow directly? We developed a way to get robots to “think through” complex instructions, feedback, and interjections. We call it the Hierarchical Interactive Robot (Hi Robot).

116,845 次观看 • 1 年前 •via X (Twitter)

11 条评论

Physical Intelligence 的头像
Physical Intelligence1 年前

Hi Robot uses a high-level VLM policy to parse instructions, camera observations, and user feedback (e.g., interjections) to decide what to do. Full blog post:

Physical Intelligence 的头像
Physical Intelligence1 年前

Just like when you are trying to cook a new kind of recipe, and you “talk” through it: first I add the salt, then the onions… the robot “talks” to itself to walk through a complex task, and then our π0 VLA follows these steps.

Physical Intelligence 的头像
Physical Intelligence1 年前

A person can talk to the robot while it’s doing this, interjecting, providing feedback, and making additional requests, like in this shopping scenario.

Physical Intelligence 的头像
Physical Intelligence1 年前

Hi Robot allows users to define new tasks through prompts, modifying how the robot should perform a task – for example, in this example the robot changes its behavior from the standard “bussing” policy based on user commands.

Physical Intelligence 的头像
Physical Intelligence1 年前

To learn more about Hi Robot, check out our blog post: The full-length paper is here:

Yang 的头像
Yang1 年前

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Brett Peirce 的头像
Brett Peirce1 年前

Ummm.... The aluminum pan was recycling... Lol

Venky 的头像
Venky1 年前

Pretty cool. Curious - How is this different than reasoning or chain of thought in LLMs?

Allison Barr Allen 的头像
Allison Barr Allen1 年前

Very cool

Ryan Ray 🦏 的头像
Ryan Ray 🦏1 年前

and ppl still think it's not coming for blue collar

Oli 的头像
Oli1 年前

damn absoloutely phenomenal work

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Owen Gregorian

179,005 次观看 • 8 个月前