embodied-intelligence

The author discusses how Muse's popularity validates their earlier stance that AI investments should prioritize Agentic AI and ecosystem development over humanoid robots and AGI competition.

The article compares AI practices between foreign and domestic companies, highlighting differences in research approaches, data ethics, and calls for regulatory intervention to protect intellectual property and privacy.

This paper defines space as an interventional invariant and develops a cross-modal predictive geometry to unify spatial structure across mathematics, physics, cognition, and urban science.

The article explores the gap between current embodied intelligence capabilities and a hypothetical 'ChatGPT moment' for robots, citing recent conferences and industry commentary on humanoid robot readiness.

Pelican-Sim 1.0 is a general world model simulator for embodied intelligence that predicts future observations from visual context and robot actions, using key designs to improve controllability and video quality across diverse embodiments and tasks.

The article critiques the oversimplified view that robotics is merely an integration problem after AI breakthroughs, highlighting challenges in training data scarcity and generalization for vision-language-action models. It contrasts these limitations with the reliability of specialized industrial robots achieved through traditional automation.

This paper surveys smart glasses as unified first-person intelligence platforms, presenting a systematic framework for perception-state-interaction-action loops and evaluation protocols across constrained hardware and diverse applications.

This survey paper reviews the integration of large language models, knowledge bases, and reasoning capabilities for general embodied intelligence, proposing a unified framework and identifying key challenges for future development.

China's 29 embodied intelligence robot companies have made 125 external investments in their early financing stages, with AgiBot alone investing in 37 projects, using capital to lock in technology, teams, and market positions in advance.

SmartMage is a unified multimodal LLM that dynamically orchestrates visual and geometric modalities for query-dependent 3D scene understanding, achieving state-of-the-art results across five benchmarks.

CG-World is a large-scale world-state dataset and protocol derived from industrial computer graphics pipelines, explicitly recording multimodal world states, interventions, and counterfactual branches to support world model research. It demonstrates improvements in geometry-conditioned video generation, action prediction, and closed-loop transfer of vision-language-action policies.

Alibaba Cloud presents a visual walkthrough of the Qwen model family's evolution from LLMs to embodied intelligence, highlighting Model Studio's features and integrations.

This paper argues that the machine intelligence architectures proposed by Edmund C. Berkeley and David L. Heiserman remain relevant for embodied robotic cognition, emphasizing logical states, hardware-near control, and modular sensorimotor structure.

This paper introduces SIS-Bench, a benchmark for evaluating self-awareness and spatial cognition in UAV embodied intelligence using multimodal large language models, and explores motion-aware representations to improve performance.

LingBot-Video, a 30B parameter MoE-based video foundation model for embodied intelligence, has been released on Hugging Face with only 3B active parameters at inference, augmented with 70K hours of embodied data.

LingBot-Video, a 30B-parameter video model with sparse MoE, designed for embodied intelligence, is open-sourced. It outperforms existing models on RBench, trained on 70K+ hours of embodied data.

LingBot-Video is the first open-source large-scale MoE video generation model for embodied intelligence, featuring efficient MoE architecture, massive embodied data training, and multi-reward system for high aesthetics, physical rationality, and task completion.

LingBot-Video presents a DiT-based video pretraining framework with Mixture-of-Experts architecture, specialized data augmentation, and multi-dimensional reward system for embodied intelligence applications.

A Peking University study published in Cell Reports finds that the human brain can adapt to virtual non-human limbs (wings) through VR training, showing dynamic plasticity in the occipitotemporal cortex.

Lin Junyang, former head of Alibaba's Qianwen team, closed his AI lab's first financing round at a $2B post-money valuation, with Gao Rong and Sequoia China each investing $100M and Tencent adding $20M. The lab will focus on world models and embodied intelligence rather than general LLMs.