Cloud Deep releases Embodied Brain suite (DR-WM-1.0, DR-VLA-2.0, DR-Agent, DR-A,

In 2026, Cloud Depth Technology unveiled five key embodied AI models, including DR-WM-1.0, DR-VLA-2.0, DR-Agent, DR-APO, and DR-Benchmark, forming a comprehensive 'embodied brain' system. These models enable robots to navigate complex environments, predict risks, and adapt to real-world scenarios, marking a shift from lab-based demonstrations to practical deployment in communities.

Cloud Depth Tech has released five major results, including DR-WM-1.0, DR-VLA-2.0, DR-Agent, DR-APO, and DR-Benchmark, covering the full technical chain of embodied intelligence. These advancements focus on physical constraints, human social rules, strategy optimization, self-evolving navigation, and real-world data collection, marking a significant step toward practical deployment of embodied AI systems.

CloudDeepTech has released five research achievements around its self-developed embodied brain DEEPRobotics-Brain, covering world models, foundational models, agents, strategy optimization frameworks, and data closed-loop platforms. These achievements cover the full technical chain of embodied intelligence, aiming to address issues such as perception, prediction, navigation, and autonomous iteration of robots in real physical environments. The research collaborates with multiple top international universities, introducing physical constraints, unlabeled video pre-training, self-evolving agents, and unified data benchmarks to advance embodied intelligence into real-world scenarios.

The article reports on significant progress in the robotics and embodied AI industry, including the open-sourcing of a real-world physical agent dataset, the release of new models for real-time inference, and the production milestones of humanoid robots. These developments indicate the industry's move toward practical deployment and integration of AI into specific applications.