AI Briefing#embodied-ai
The latest AI and developer news about #embodied-ai, with the original source and a short summary.
The latest AI and developer news about #embodied-ai, with the original source and a short summary.
OpenAI dissolved its independent robotics team to rely on general-purpose models like GPT-6 Astra for robot control, citing a 74.8% success rate in simulation benchmarks.
The model achieves 91.3% accuracy in pinpointing critical video events and supports multi-robot collaboration across various embodiments.
The 9B multimodal model claims 8 of 9 top scores in its size band on spatial benchmarks and includes an open-sourced data pipeline.
An analysis of involution and overseas expansion in the Chinese AI ecosystem, structural limitations, and implications for US developers.
Light Origins has released LightNav-0, a 4B-parameter navigation model that controls multiple robots using only a front-facing RGB camera without depth sensors.
This article introduces architectures and case studies for implementing on-device AI intelligence via external modules without modifying the firmware of existing robots.
VLX-Seek 1.5 10B has been released as an open-source model for real-world visual grounding.
Xiaomi validated VLA scaling using 100,000 hours of manipulation data collected without robots.
Xiaomi has open-sourced its Embodied AI model Xiaomi-Robotics-1 along with the full deployment pipeline.
Google unveiled 'Gemini Robotics ER 2,' which supports robots' high-level reasoning and real-time tasks.
Proposes a unified diffusion transformer model that simultaneously optimizes a robot's morphology and control policy.
It is a video diffusion model that generates realistic first-person viewpoint videos conditioned on 3D full-body pose sequences.
OpenBMB has released an open-source Embodied AI model series for robot manipulation and tracking.
LG AI Research unveiled a multi-phase reinforcement learning framework and RL-Studio optimized for complex industrial settings.
LG AI Research has unveiled Multi-Phase RL, a reinforcement learning framework capable of complex stage-by-stage transitions, along with its platform RL-Studio.
We look at the two core technical directions of Robot Foundation Models (RFM), which go beyond LLMs in virtual worlds to interact with the physical environment.
Anthropic analyzed the correlation between models and interfaces through the Embody benchmark, which measures LLMs' ability to control physical robots.
Tencent has unveiled the RxBrain model, which combines language reasoning and visual imagination to plan robot actions.
Ant Group has open-sourced LingBot-VLA 2.0, a general-purpose VLA model that supports a wide range of robots.
Robostral Navigate is an 8B-scale embodied AI model that autonomously navigates complex environments using only a single RGB camera.
Mistral AI has unveiled Robostral Navigate, its first model for robots to navigate physical space.
Chinese companies are expanding their ecosystems by focusing on developing world models for robotics and physical AI.
Research results on LingBot-Depth 2.0, which maximizes depth estimation performance by using the sensor's missing regions as a training signal.
General Intuition has raised large-scale funding for its technology that trains AI agents for the physical world using gameplay data.