The learning-cbfs from shaoanlu

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Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Lindemann, H. Zhang, D. V. Dimarogonas, S. Tu, and N. Matni, https://arxiv.org/abs/2004.03315

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learning-cbfs's Introduction

👋Hello, I'm Shao-An!

🔭 Working as a Control Software Engineer.
🌏 Grew up in Taiwan, residing in the vibrant city of Tokyo, Japan.
⭐ Interested in Control Systems, Optimization, and Deep Generative Models.
🌱 Currently engaged in the exploration of Software Architecture within Robotic Systems.

Recent Activity

🎉 Merged PR #1 in shaoanlu/CBF_QP_safety_filter
💪 Opened PR #1 in shaoanlu/CBF_QP_safety_filter
💪 Opened PR #234 in qpsolvers/qpsolvers
🎉 Merged PR #6 in shaoanlu/qpsolvers
💪 Opened PR #6 in shaoanlu/qpsolvers

Projects

Control and Optimization
- Diffusion policy for Quadrotor Control: Implements cutting-edge diffusion models for imitation learning in quadrotor control.
- Safety Filter for Collision Avoidance: Employs Control Barrier Functions (CBF) as safety filters for collision avoidance.
- Motion Planning with MPPI: Integrates Model Predictive Control and CBF in a sampling-based approach for motion planning.
Deep Learning and Computer Vision
- Few-Shot Face Translation: Features Generative Adversarial Networks trained on the VGGFace2 dataset for face-translation with few-shot examples.
- Face Swapping GAN: Applies Generative Adversarial Networks for face-swapping in images.
- Facial Analysis Toolbox: Offers a collection of deep learning models for facial analysis in Keras.

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