Yongxiang Zou — accepted AI-conference papers

2025

Neural-Lyapunov Fusion: Stable Dynamical System Learning for Robotic Motion Generation

Haoyu Zhang, Yu Zhang, Yongxiang Zou, Houcheng Li, Long Cheng

IROS 2025

Point-to-point and periodic motions are ubiquitous in the world of robotics. To master these motions, Autonomous Dynamic System (ADS) based algorithms are fundamental in the domain of Learning from Demonstration (LfD). However, these algorithms face the significant challenge of balancing precision i

Cited by 0 Source ↗Scholar ↗

2024

Learning a Stable Dynamic System with a Lyapunov Energy Function for Demonstratives Using Neural Networks

Yu Zhang, Yongxiang Zou, Houcheng Li, Haoyu Zhang, Long Cheng

ICRA 2024poster

Autonomous Dynamic System (DS)-based algorithms hold a pivotal and foundational role in the field of Learning from Demonstration (LfD). Nevertheless, they confront the formidable challenge of striking a delicate balance between achieving precision in learning and ensuring the overall stability of th…

Cited by 2 Source ↗Scholar ↗