activity
20212026
most citedDDK: A Deep Koopman Approach for Dynamics Modeling and Trajectory Tracking of Autonomous Vehicles

17 citations · 17 across the 6 of their papers we have counts for

collaborators

7 papers

cs.RO2026

Decoupling Physical Speed from Path Parameterization in Singularity-Free Guiding Vector Fields

Zhouru Xiao, Sha Luo, Yang Lu +5

The existing singularity-free guiding vector field (SF-GVF) with an additional virtual coordinate can eliminate singular points (i.e., points where the vector field vanishes) inher…

cs.RO2026

Finite-Time Curvature-Constrained Vector Field for Saturation-Free Motion Planning of Nonholonomic Robots

Zhouru Xiao, Sha Luo, Yang Lu +5

Accurately steering a robot to a target configuration is fundamental in engineering, yet remains challenging for nonholonomic mobile robots. Vector fields (VFs) provide a natural f…

cs.RO2026

Simultaneous Arrival Control for Distributed Multi-Robot Systems with Curvature and Constant-Speed Constraints

Zhouru Xiao, Yang Lu, Weijia Yao +2

The simultaneous arrival of multiple mobile robots at a target point is crucial for cooperation tasks such as cooperative encirclement, disaster relief, and environmental monitorin…

cs.RO2025

Versatile Distributed Maneuvering with Generalized Formations using Guiding Vector Fields

Yang Lu, Sha Luo, Pengming Zhu +4

This paper presents a unified approach to realize versatile distributed maneuvering with generalized formations. Specifically, we decompose the robots' maneuvers into two independe…

cs.RO2024

Vector Field-Guided Learning Predictive Control for Motion Planning of Mobile Robots with Uncertain Dynamics

Yang Lu, Weijia Yao, Yongqian Xiao +4

In obstacle-dense scenarios, providing safe guidance for mobile robots is critical to improve the safe maneuvering capability. However, the guidance provided by standard guiding ve…

cs.RO2023

Learning-based Near-optimal Motion Planning for Intelligent Vehicles with Uncertain Dynamics

Yang Lu, Xinglong Zhang, Xin Xu +1

Motion planning has been an important research topic in achieving safe and flexible maneuvers for intelligent vehicles. However, it remains challenging to realize efficient and opt…

eess.SY2021★ 17 cited

DDK: A Deep Koopman Approach for Dynamics Modeling and Trajectory Tracking of Autonomous Vehicles

Yongqian Xiao

Autonomous driving has attracted lots of attention in recent years. An accurate vehicle dynamics is important for autonomous driving techniques, e.g. trajectory prediction, motion…