General Physical AI Project Group 🚀
Affiliated with Zhongguancun Academy (ZGCA) & Zhongguancun Institute of Artificial Intelligence (ZGCI)
ZGC-EmbodyAI is a joint research group established by the Zhongguancun Academy (ZGCA) and the Zhongguancun Institute of Artificial Intelligence (ZGCI).
Our core mission is to develop General Physical AI.
- 🤖 Post-training of LLMs & Agents: Advanced post-training techniques (e.g., SFT, RLHF) tailored for Large Language Models and autonomous agents to enhance reasoning and planning.
- 🦾 VLA Architecture & Training: Designing and optimizing Vision-Language-Action (VLA) architectures for effective end-to-end robotic control.
- 🌏 World Models in Embodied AI: Leveraging World Models to simulate, predict, and reason about physical interactions and dynamics.
- 🛩︎ Real-world Reinforcement Learning: Deploying robust RL algorithms on physical hardware, including Robotic Arms, Dexterous Hands, and Humanoid Robots.
Below are our latest research contributions in the field of Embodied AI:
Abstract: An egocentric-aware embodied brain, PhysBrain, trained on E2E-3M, exhibits substantially improved egocentric understanding for planning tasks, provides sample-efficient VLA fine-tuning initialization, and achieves 53.9% SimplerEnv success rates—demonstrating effective transfer from human egocentric supervision to downstream robot control.
TwinBrainVLA: Unleashing the Potential of Generalist VLMs for Embodied Tasks via Asymmetric Mixture-of-Transformers
Abstract: TwinBrainVLA, a novel architecture that coordinates a generalist VLM retaining universal semantic understanding and a specialist VLM dedicated to embodied proprioception for joint robotic control.
Abstract: LangForce is a novel framework that enforces instruction following via Bayesian decomposition. By introducing learnable Latent Action Queries, LangForce construct a dual-branch architecture to estimate both a vision-only prior
$p(a∣v)$ and a language-conditioned posterior$π(a∣v,\ell)$
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Beijing Zhongguancun Academy (ZGCA) |
Zhongguancun Institute of Artificial Intelligence (ZGCI) |
📍 Location: Beijing, China
📧 Contact: contact@example.com