具身智能

Genesis AI unveiled GENE-26.5, its first general-purpose robot foundation model, capable of complex tasks like cracking eggs, solving Rubik's cubes, and playing piano—all autonomously with minimal real-world fine-tuning data.

Li Fei-Fei's team releases ESI-Bench evaluation benchmark, transforming observers into actors for the first time, closing the perception-action loop, and discovering three major issues in current AI spatial intelligence: action blindness, 3D reconstruction traps, and metacognitive deficits.

NEO机械手通过25个自由度和仿生皮肤实现类人操作精度，但依赖远程控制而非完全自主，2026年或成为首个家用具身智能产品。

智平方科技在联合国展示NeuroVLA类脑模型，通过模仿人脑机制降低机器人功耗与数据需求。

美团龙珠在科技投资上重注AI和具身智能，已投宇树科技、月之暗面等公司，认为具身智能投入不足。

OneModel 1.7 by Woe安 Robotics uses a 'Latent World Action Model' to directly transmit the understanding of the environment from the world model to the action execution module, solving the key gap in embodied intelligence from understanding to execution, significantly improving the operation success rate of robots in family environments.

Moore Threads released MT Lambda, China's first full-stack domestic embodied AI simulation platform, achieving the first Sim-to-Real verification entirely on domestic hardware and bridging the full link from training to deployment.

Xu Huazhe re-entered entrepreneurship, focusing on household robots, believing that embodied intelligence should not be limited to robotics, autonomous driving, or prehistoric deep learning, emphasizing the importance of reinforcement learning.

正行创新获近亿美元天使轮融资，正大集团、华勤技术等多家上市企业联合投资。

Li Xiang views AI as a productivity and labor amplifier but is skeptical of the 'one-person company' model, emphasizing that real production environments are hard to build and companies should use AI for efficiency gains rather than cost-cutting.

The world’s first humanoid robot penalty shootout will debut at MWC26 Shanghai in June 2026, featuring 8 top Chinese teams competing in real-time physical AI challenges, blending competition with entertainment to advance embodied intelligence.

The article introduces the collaboration between Diguaro Bot and Xushi Tech to address the lack of simulation data in embodied intelligence, but the information density is low.

文章为 AI 岗位面试准备推荐文章列表，但内容未直接提供技术细节或实践方法。

The core determinant of success in embodied intelligence is data supply capability, not algorithms or hardware.