Human-in-the-loop distributed cooperative tracking control with applications to autonomous ground vehicles: A data-driven mixed iteration approach
Y Xu, ZG Wu - Control Engineering Practice, 2023 - Elsevier
This paper proposes a data-driven learning algorithm for the human-in-the-loop cooperative
tracking control of multi-agent systems with completely unknown dynamics. The core role of …
tracking control of multi-agent systems with completely unknown dynamics. The core role of …
Proactive cooperative consensus control for a class of human-in-the-loop multi-agent systems with human time-delays
In this study, we consider a class of human-in-the-loop (HiTL) multi-agent systems that
divide agents into two parts: the nonautonomous agents controlled by human operators, and …
divide agents into two parts: the nonautonomous agents controlled by human operators, and …
Human–Robot Coordination Control for Heterogeneous Euler–Lagrange Systems Under Communication Delays and Relative Position
Human intelligence, cognition, and skills can be applied to robots to accomplish challenging
tasks through cooperative control between humans and robots. In this article, we propose …
tasks through cooperative control between humans and robots. In this article, we propose …
Adaptive Impedance and Admittance Controls for Physical Human-Robot Interaction with Force-Sensorless
VT Ngo, YC Liu - 2024 American Control Conference (ACC), 2024 - ieeexplore.ieee.org
In this paper, we introduce control frameworks for physical human-robot interaction that rely
on adaptive impedance learning and without force measurement. The adaptation laws are …
on adaptive impedance learning and without force measurement. The adaptation laws are …