- 🔭 I am pursuing doctoral research in embodied intelligence with a strong emphasis on engineering-grounded methodologies.
- ❤️ I'm interested in 3D computer vision&graphics, machine learning, robotics and GPU accelerated simulation.
- 👀 I'm also interested in sim2real learning for 3D world problems, including automatic data generation for both synthesis and mixed-reality, domain adaptation, efficient learning network and pipeline, online data generation and training, continual learning etc.
- 🤝 I welcome research or open source project collaborations on Embodied Intelligence and Simulation Infrastructure. If you're interested in joint projects, code sharing, student internships, or industry partnerships, please contact me at yuecideng@link.cuhk.edu.cn.
🎯
Focusing
Building Physical AI into real world
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The Chinese University of Hong Kong, Shenzhen
- Shen Zhen, China
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11:12
(UTC -12:00) - https://yuecideng.github.io/
Pinned Loading
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DexForce/EmbodiChain
DexForce/EmbodiChain PublicAn end-to-end, GPU-accelerated, and modular platform for building generalized Embodied Intelligence.
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Multiple_Planes_Detection
Multiple_Planes_Detection PublicA fast and simple method for multi-planes detection from point cloud
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analytic_policy_gradients
analytic_policy_gradients PublicBackpropagating Through Simulation: Analytic Policy Gradients for Sample and Learning Efficient Differentiable Continuous Control
Python
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