5 papers · 1 filter
Invertible Neural Network Adapter for One-Step Flow Matching in Robot Manipulation
Yu Zhang, Kangyi Ji, Yongxiang Zou +3
This paper presents an invertible neural network adapter for general robotic manipulation, designed to generate precise high-dimensional actions conditioned on multimodal observati…
Enhanced Prediction of Multi-Agent Trajectories via Control Inference and State-Space Dynamics
Yu Zhang, Yongxiang Zou, Haoyu Zhang +3
In the field of autonomous systems, accurately predicting the trajectories of nearby vehicles and pedestrians is crucial for ensuring both safety and operational efficiency. This p…
Learning Variable Impedance Skills from Demonstrations with Passivity Guarantee
Yu Zhang, Long Cheng, Xiuze Xia +1
Robots are increasingly being deployed not only in workplaces but also in households. Effectively execute of manipulation tasks by robots relies on variable impedance control with…
Stabilizing Dynamic Systems through Neural Network Learning: A Robust Approach
Yu Zhang, Haoyu Zhang, Yongxiang Zou +2
Point-to-point and periodic motions are ubiquitous in the world of robotics. To master these motions, Autonomous Dynamic System (DS) based algorithms are fundamental in the domain…
Learning a Stable Dynamic System with a Lyapunov Energy Function for Demonstratives Using Neural Networks
Yu Zhang, Yongxiang Zou, Haoyu Zhang +2
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 c…