China’s tech giant Xiaomi has officially launched its MiMo-Embodied model, an advanced AI framework that seamlessly integrates autonomous driving and robotics. The company has also committed to fully open-sourcing the model, marking an important milestone in the development of embodied intelligence and cross-domain AI systems.
Bridging the Gap Between Autonomous Driving and Robotics
MiMo-Embodied is designed to tackle a pressing challenge in the emerging fields of robotics and autonomous driving: achieving cognitive and operational interoperability between robots in home environments and self-driving vehicles on the road. Xiaomi’s innovation comes at a time when embodied intelligence is becoming increasingly relevant in both residential automation and mobility technologies.
“With MiMo-Embodied, we are taking a step beyond traditional, domain-specific AI models,” said Lei Jun, CEO of Xiaomi. “This unified model not only bridges autonomous driving and robotics but also sets the foundation for future advancements in multi-scenario AI.”
The model integrates critical capabilities across both areas, enabling it to handle tasks as diverse as indoor robotics, spatial reasoning, task planning, and complex driving maneuvers like environmental perception, state prediction, and driving strategy development.
Key Features of MiMo-Embodied
- Cross-Domain Intelligence:
MiMo-Embodied unites several essential tasks in embodied intelligence and autonomous driving. This includes affordance reasoning (understanding potential interactions with objects), task planning, and spatial understanding for robotics, alongside the core tasks of autonomous driving—environmental perception, state prediction, and driving planning. This allows the model to offer full-scenario intelligence that can operate seamlessly in both home environments and dynamic road conditions. - Collaborative Intelligence Across Domains:
Xiaomi’s model also emphasizes “two-way collaborative intelligence,” allowing knowledge transfer between indoor robotics and autonomous vehicles. For example, improved decision-making capabilities in home robotics enhance road-driving performance and vice versa. This creates a feedback loop that improves overall system intelligence and supports Xiaomi’s vision of a smarter, more interconnected world. - Real-World Performance and Optimization:
MiMo-Embodied has been trained using a multi-stage approach that includes capability learning, Chain-of-Thought (CoT) inference enhancement, and reinforcement learning (RL) fine-tuning. This robust training pipeline strengthens the model’s ability to perform reliably in the complex, unpredictable conditions of the real world, whether indoors or on the road.
Breakthrough Performance on Key Benchmarks
According to the company, MiMo-Embodied model has already demonstrated exceptional performance across 29 core AI benchmarks, surpassing both open-source and proprietary models in several critical areas. It achieved state-of-the-art (SOTA) results on 17 benchmarks related to embodied intelligence, including task planning, spatial understanding, and affordance prediction. In the realm of autonomous driving, the model outperformed competitors in 12 benchmarks, setting new standards for perception, state prediction, and driving planning.
Xiaomi also said, MiMo-Embodied showed impressive versatility in visual-language tasks, suggesting a wide-ranging ability to generalize across different AI domains. This makes the model not just a tool for robotics and autonomous driving, but a stepping stone toward more advanced, multi-functional AI systems.
Open-Sourcing to Foster Innovation
In keeping with Xiaomi’s commitment to transparency and collaboration, the company has made the MiMo-Embodied model and its codebase fully open-source. By releasing the model to developers and researchers, Xiaomi aims to accelerate innovation in robotics, smart mobility, and AI ecosystems, encouraging contributions from the global tech community. This move underscores the company’s ambition to shape the future of AI beyond its traditional consumer electronics base.
With the release of MiMo-Embodied, Xiaomi is not only advancing its own technology but is also inviting developers and researchers to build upon its work, fostering a more interconnected and innovative AI landscape.
“As we continue to push the boundaries of artificial intelligence, we believe that the collective efforts of the global research community will accelerate progress and unlock new possibilities in intelligent robotics and autonomous systems,” said Wang Xiang, Xiaomi’s President.
For now, Xiaomi’s focus remains on refining MiMo-Embodied and encouraging developers to explore and build on this powerful AI tool, which could ultimately transform industries ranging from autonomous mobility to home automation and beyond.
