AI Daybook
한국어
AI Daybook
Today's issue
Physical AI

Minerva Humanoids raises $10 million for bomb disposal and construction robots

Original titleMinerva Humanoids raises $10M for robots that do bomb disposal and rig work - The Next Web

Outlet
Google News
Published
Importance
3/5

Summary

Minerva Humanoids raised $10 million to develop humanoid robots for bomb disposal and construction work applications.

Also reported by 1 outlet

Original excerpt

Minerva Humanoids raises $10M for robots that do bomb disposal and rig work The Next Web

#humanoid robot#funding#bomb disposal
Read the original
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 original