AI Daybook
AI Daybook
Today's issue
Korean outletPhysical AI

Meta partners with Fourier on humanoid robot for household tasks

Original article in Korean메타, 중국 푸리에와 휴머노이드 로봇 개발...가정용 시장 진출 추진

Outlet
AI Times
Published
Importance
5/5

Summary

Meta and Chinese robotics startup Fourier jointly developed humanoid robot prototype Max, a 48-kilogram robot completed in three months. The companies are working on a successor model, targeting the household robotics market for housekeeping and daily tasks.

#meta#robotics#humanoid#fourier
Read the originalaitimes.com · in Korean
See all →
Oct 31

Foundry Robotics raises $100 million Series A for autonomous assembly factories

Foundry Robotics announced an oversubscribed $100 million Series A funding round led by Marlinspike Partners. The round includes participation from early backers Khosla Ventures and Red Glass Ventures, alongside new investors SE Ventures, Wing VC, and Axiom Ventures.

Robotics & Automation News
Nov 4
Paper

NEO-VLA, an encoder-free vision-language-action framework for robotic manipulation

The authors propose NEO-VLA, an encoder-free vision-language-action framework where images are tokenized and evolve jointly with language throughout the backbone. They show that this approach outperforms encoder-based counterparts across diverse manipulation tasks and distribution shifts.

Hugging FaceTrending 27
Oct 27
Paper

PDRVLA integrates physical dynamics into robot vision-language-action models

PDRVLA, a vision-language-action model with a lightweight physical dynamics module, generates robot actions from visual input and language instructions. It learns from public data augmented with human-to-robot synthesis and embodied chain-of-thought annotation, achieving 99.3% success on LIBERO and up to 93.6% on RoboTwin 2.0.

Hugging Face +1 moreTrending 25
Nov 5
Paper

VFlash achieves 25x faster visual planning generation for robot motion forecasting

The authors introduce VFlash, a method for fast visual planning using Flash Primitive Decoding. It exploits the known structure of visual primitives to predict their coordinates jointly, achieving approximately 25x faster generation for 3D point motion forecasting. A world action model conditioned on VFlash plans achieves 70.2% average success across MolmoSpaces task suites, compared with 62.6% for the baseline.

Hugging Face +2 moreTrending 22
Read the originalaitimes.com · in Korean