Tencent Open-Sources Two Embodied Foundation Models
机器之心 · wechat · 2026-07-15
Tencent RoboticsX, Fukuda Lab, and Tencent Hunyuan have jointly released and open-sourced two embodied foundation models: Hy-Embodied-VLM-1.0 and Hy-Embodied-RxBrain-1.0.
Hy-Embodied-VLM-1.0
- Focuses on the understanding-action-adaptation closed loop in embodied intelligence
- Covers physical state understanding, action-change reasoning, and temporal/adaptive reasoning
- Built on the latest Hunyuan A3B base, trained with large-scale embodied data
- Achieves performance comparable to the previous flagship A32B embodied model using only 1/10 of the compute across 37 evaluation tasks
Hy-Embodied-RxBrain-1.0
- Unified modeling of world understanding, reasoning/planning, and action consequence prediction
- Combines textual reasoning with visual imagination to provide dense multimodal conditions for downstream action models
- Training data includes 50,000+ hours of high-quality embodied data, comprising 210 million training samples
- Achieves a joint planning score of 0.68 on RxBrain-Bench, outperforming several comparative systems
Real-World Robots & Benchmarks
- Real-robot tasks cover multi-stage operations like arranging utensils, folding glasses, and throwing away trash
- Achieves an average success rate of 87% on the DOBOT X-Trainer and Fangzhou Wuxian A5
- The authors emphasize: visual imagination isn't just for "show," but serves as an intermediate cognitive representation actively utilized by action models
Related event: Tencent Hunyuan Open-Sources Two Embodied AI Foundation Models(3 posts)→
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