AI Daybook
AI Daybook
Today's issue
Korean outletPhysical AI

maum.ai improves robot success with world models for future prediction

Original article in Korean마음AI, 로봇에 '미래 예측' 더해 성공률 경신…연내 인간 수준 도전

Outlet
ETNews
Published
Importance
4/5

Summary

maum.ai combined a world model for situation forecasting with its robot foundation model to create PonderPounce-WM. In its own evaluation on RoboMME, it achieved a 67.42% success rate, and the company targets human-level performance by year-end.

#world model#humanoid#robot foundation model
Read the originaletnews.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 2

Meta partners with Fourier on humanoid robot for household tasks

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.

Korean outletAI Times
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
Read the originaletnews.com · in Korean