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We track research, AI models, data, and industry developments to bring you the technology stories that matter.

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Shanghai Jiao Tong University's Lu Cuwu, Zhejiang University teams propose Track4Action: Distilling the '3D World After Action' into VLA

A new approach by Shanghai Jiao Tong University and Zhejiang University integrates 3D world tracking knowledge into Vision-Language-Action models to help robots understand how their actions change the physical environment.

Three Major Embodied AI Works from China, US, and Korea: Connecting the Present and Future of Robot Agents

Recent reports from Anthropic highlight the race to make LLMs and VLMs the brains of robots. Three new papers from Meta/NUS/University of Washington, Sungkyunkwan University, and Tsinghua/Purdue propose different frameworks to bridge the gap between frozen models and reliable robotic agents.

Robotics: New Over Old? HKU, Infinite Force, and Others Stress-Test VLAs on Real Robots

A new study from HKU and other institutions demonstrates how experience replay and action normalization can prevent catastrophic forgetting in Vision-Language-Action models during continuous learning on real-world robots.

Yann LeCun Praises INTACT: ZJU’s Sun Junhan and Tsinghua’s Zhao Hao Eliminate the 'Search Tax' from JEPA World Models

Researchers propose INTACT, a search-free world model framework that aligns physical and goal intentions using a shared operator. Achieving 95.33% success rate with 300x faster inference than LeWM, it upgrades JEPA from prediction to deployable control.

First! 30 Researchers from Peking University, NTU, and Others Collaborate to Clarify the Embodied Data Pyramid

A comprehensive review by nearly 30 researchers clarifies the five-layer embodied data pyramid, exploring data scaling laws, model-specific requirements, and the synergy between simulation and real-world data.

Shangwei New Materials Subsidiary Qiyuan Xinchuang Settles in Pudong, Chemical Enterprise Crosses Over to Consumer Robots

Qiyuan Xinchuang (Shanghai) Technology Co., Ltd., a robotics subsidiary of Shangwei New Materials Technology Co., Ltd., has officially settled in Zhangjiang Robotics Valley, Pudong, Shanghai. The project was signed during the 2026 World Artificial Intelligence Conference (WAIC).

0.04B Unified for Heterogeneous Cameras: Discussing the Trade-offs of X-Lens with Sui Wei from Digua Robotics

Digua Robotics, in collaboration with Tokyo University and Suzhou University, released a technical report on July 15 introducing X-Lens, a lightweight depth estimation model with only 0.04B parameters. Capable of real-time metric depth estimation with heterogeneous cameras on edge devices, X-Lens uses a 'ray space' approach to unify fisheye and pinhole camera inputs, achieving high accuracy and efficiency compared to larger models.

500,000 Hours of First-Person Video: How to Add 'Touch' to Embodied World Models

Zhiwu Wujie releases Being-H0.8, a latent tactile world-action model trained on over 500,000 hours of first-person video. By generating pseudo-tactile labels from visual data and unifying robot sensor inputs, it aims to bridge the gap between visual observation and physical contact for embodied AI.

Open-Sourcing Three Major Models: Tencent Robotics Is 'Overtaking'

Tencent's Robotics X Lab and Futian Lab, in collaboration with Hunyuan, have released three open-source embodied AI foundation models based on the Hunyuan large model: Hy-Embodied-VLM-1.0, Hy-Embodied-RxBrain-1.0, and Hy-Embodied-VLA-0.5.

Unitree's New Brain Debuts: Embodied AI Moves from Concept to Real Machines

On July 20, Unitree Technology officially released UnifoLM-OminiA-0.3, an embodied large model for home care tasks, natively integrated into the G1 robot. This marks a substantive step toward real-world deployment in civilian service.