具身智能产业中的核心技术竞争正在升温。[1]蚂蚁集团旗下蚂蚁灵波科技于7月8日宣布全面开源具身基座模型LingBot-VLA 2.0，[1]腾讯同步开源混元3D世界模型2.0，[1]阿里则与英伟达在Physical AI领域达成合作。[1]大厂通过开源具身基座模型、VLA模型等方式，试图建立数据-模型-部署的闭环。[1]与此同时，独角兽企业也在积极布局，自变量与顺丰、金杯股份达成合作，[1]银河通用与博原资本设立合资公司，[1]7月24日宇树科技与成都市达成战略合作。[1]
大厂与独角兽的竞争策略存在差异。[1]大厂采取"修路"策略出售算力和工具链，独角兽则分别押注通用平台和场景复制两条路径。[1]然而，具身智能的商业化进程仍面临多重瓶颈。[1]产业缺乏统一的计量方式，[1]数据流动、成本竞争等问题待解。[1]企业客户在部署时需要权衡环境改造成本与机器人智能成本。[1]
Major technology companies and startups are intensifying their competition to establish dominance in the embodied intelligence sector through open-sourcing foundational models and development tools. On July 8, Ant Group's subsidiary Ant Lingbo Technology announced the full open-source release of its embodied foundation model LingBot-VLA 2.0 [1]. This move reflects a broader industry strategy to build a closed-loop ecosystem spanning data collection, model development, and deployment.
The competitive landscape extends across multiple players pursuing different strategies. Tencent has open-sourced its Hunyuan 3D World Model 2.0, while Alibaba has entered a collaboration with NVIDIA in the Physical AI domain [1]. Among emerging unicorn companies, Zibianiang has partnered with SF Express and Golden Cup Holdings, while Galaxy General Intelligence has established a joint venture with Boruán Capital [1]. Additionally, Unitree Technology signed a strategic cooperation agreement with Chengdu City on July 24 [1].
However, the sector faces significant commercial hurdles that could determine the viability of these platforms. The embodied intelligence industry has yet to develop a standardized measurement system—described as lacking its own "Token"—creating uncertainty around pricing and value assessment [1]. Enterprises face a critical trade-off between the costs of environmental modification and the intelligence capabilities of robots themselves [1], a calculation that will ultimately determine market adoption rates and the success of competing infrastructure platforms.
