Hi, my name is

Haoyang Weng.

Nice to meet you!

I’m a third-year undergraduate at Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University, Beijing, China.

I am working on research projects under the supervision of Prof. Yang Gao. Currently, I am serving as a student intern in LeCAR Lab at CMU, where I am advised by Prof. Guanya Shi.

I am intersted in the intersection between Machine Learning and Robotics. My goal is to build scalable and efficient robot learning algorithms, by incorporating both priors from intuitive physics and large scale real-world data. I believe that the combination of clean implementation of minimal algorithmic priors and large scale multi-source data will lead to generalizable robot learning algorithms.

Publication

FACET: Force-Adaptive Control via Impedance Reference Tracking for Legged Robots
Robotics Impedance Control Reinforcement Learning
FACET: Force-Adaptive Control via Impedance Reference Tracking for Legged Robots
Force-adaptive policy conditioned on desired stiffness as command input, enabling variable impedance control.
On Scaling Up 3D Gaussian Splatting
3D Reconstruction Distributed Training ICLR 2025
On Scaling Up 3D Gaussian Splatting
Developed √batch-size learning rate scaling enabling near-linear speedup in distributed 3DGS training.
Reinforcement Learning with Foundation Priors: Let Embodied Agent Efficiently Learn on Its Own
Reinforcement Learning Foundation Models Robotics CoRL 2024
Reinforcement Learning with Foundation Priors: Let Embodied Agent Efficiently Learn on Its Own
Developed RLFP framework using foundation models for policy/value guidance, enabling sample-efficient real-world RL finetuning.

Course Projects

Accelerating Model-based Learning of Locomotion with Pretrained Demonstrations
Model-based RL Robotics
Accelerating Model-based Learning of Locomotion with Pretrained Demonstrations
PPO-trained A1 robot locomotion in IsaacGym with Dreamer-based online fine-tuning in MuJoCo.
Cyber Dribble: Flexible Framework for Agile Dribbling with Cyberdog2
Reinforcement Learning C++/Pybind11 Sim2Real Robotics
Cyber Dribble: Flexible Framework for Agile Dribbling with Cyberdog2
Trains a RL policy for Cyberdog2 to perform agile dribbling tasks. Full-stack framework for real-world deployment, built on pybind11.
Gauss Fusion: Seamless 3D Object Integration using Gaussian Splatting
Gaussian Splatting 3D Reconstruction
Gauss Fusion: Seamless 3D Object Integration using Gaussian Splatting
Gaussian Splatting preprocessing and merging pipeline with interactive 3D visualization.
Audio Reactive Controls: Real Time Visualization of Music on Customised Hardware
Embedded Systems C++/libpulse Raspberry Pi
Audio Reactive Controls: Real Time Visualization of Music on Customised Hardware
A custom music player hardware controlling ferrofluids and LED light strips for audio visualization.
Low-latency audio processing (C++/libpulse) for real-time hardware visualization on Raspberry Pi.