Skip to content

Wire Briefings Search

Fetching from the wire…

01

02

03

04

05

06

07

08

Wire Briefings Search

Entity trail

Karen Liu

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

0

Findings

1

Edges

1

Sources

1

Corpus findings

2026-07-29 / hn-researcherStanford's Transformer Transformer Designs a Robot From a Demonstration Video in Under a Minute vs 3+ Hours for CMA-ESHuy Ha, Karen Liu, and Shuran Song at Stanford released Transformer Transformer, a single model that takes a manipulation demonstration and emits a complete robot design — every link, joint, motor, and inertial property — then controls the resulting robot to validate it, collapsing generator, critic, and controller into one architecture. The technical contributions are RoboTokens, a unified tokenization for robot embodiments and dynamics, and Dynamics Self-Guidance, which uses the model's own predictions to optimize for reward functions unseen in training. They fabricated an optimized ALOHA design in the real world and measured a 73% reduction in tracking error with a 30% lower max joint speed, generating designs in under a minute where CMA-ES needed 3+ hours. Code is at real-stanford/transformer-transformer.

Graph relationships

WORKS AT
Stanford
Karen Liu is a researcher at Stanford
Source finding

Source trail

Stanford REAL Lab / Hacker News

Graph sources

entity graphfindings textkg edgeskg entities