A precise vehicle dynamics model is critical for simulation and algorithm testing. Neural
networks have been widely used to build high-fidelity vehicle dynamics models due to the …

The autonomous vehicle (AV) technology has the potential to significantly improve safety
and efficiency of the transportation and logistics industry. Full-scale AV testing is limited by …

Autonomous vehicle (AV) technology has the potential to revolutionize the transportation
and logistics industry, making it more efficient and safer. However, testing such technologies …

Mobile robotic systems serve as versatile platforms for diverse indoor applications, ranging
from warehousing and manufacturing to test benches dedicated to evaluating automated …

As the safety of human-robot interaction is of great interest in various applications, the
flexibility of machine joints becomes increasingly important. In this paper, a general model is …

Mobile robotic systems are becoming increasingly popular. These systems are used in
various indoor applications, raging from warehousing and manufacturing to test benches for …

This paper presents an X-in-Loop test platform designed for the Proof-of-Concept testing of
intelligent braking ECPBS in commercial vehicle. Firstly, the concept of intelligent braking is …

The development of autonomous vehicles necessitates designing and testing advanced
vehicle controllers that replace human drivers. Before reaching end users, these controllers …

In this paper, a 14-degree-of-freedom whole-vehicle model and a sliding-mode controller
considering the suspension load transfer and dynamic characteristics are designed for the …

This Master's thesis spans a wide range of fields. Starting from the control domain, a
comprehensive review of Model Predictive Control (MPC) was conducted. Subsequently …