Recently, the Tencent Robotics X Lab and the Hunyuan team jointly released and open-sourced HY-Embodied-0.5-X, a multimodal large model optimized for embodied tasks, aimed at enhancing the intelligent interaction capabilities of robots in real environments. This model is based on the HY-Embodied-0.5-MoT-2B architecture, emphasizing core capabilities of robots in "understanding, clarifying, and executing." It particularly excels in fine operations, spatial reasoning, action prediction, and risk assessment.

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The HY-Embodied-0.5 series includes two main versions: MoT-2B and MoE-32B. MoT-2B is designed for edge deployment with real-time response capability, while MoE-32B has a larger parameter scale and supports more complex task processing. HY-Embodied-0.5-X focuses especially on applications in real robot interactions, promoting the transition from "understanding" to "performing tasks," and provides strong support for practical scenarios such as household services and desktop operations.

In terms of data, HY-Embodied-0.5-X combines self-collected first-person robotic operation data and open-source embodied data to build a high-quality training dataset. This dataset not only covers operation understanding and task reasoning but also enhances the model's ability to understand ambiguous instructions. In addition, the team introduced chain-of-thought annotations and a data quality loop to ensure the effectiveness of model training and the high quality of the data.

In the training strategy, HY-Embodied-0.5-X adopts a phased iterative approach, first verifying the training configuration with small-scale high-quality data, then gradually expanding to large-scale training to improve training efficiency and stability. The model shows significant advantages in spatial understanding, long-range planning, and embodied interaction, allowing robots to better understand the environment and complete complex tasks.

The release of HY-Embodied-0.5-X marks another important advancement by Tencent in the field of embodied intelligence, and it is expected to drive further development and application of technology in the interaction between robots and humans.

Key Points:

🌟 HY-Embodied-0.5-X is a newly released multimodal large model, optimized for robot intelligent interaction.

🤖 This model integrates multiple data sources, improving the robot's operational understanding and execution capabilities in real environments.

🔄 A phased training strategy ensures efficient model training and stable performance, suitable for various household and desktop scenarios.