SJ Al-Kamil, R Szabolcsi - Results in Engineering, 2024 - Elsevier
Recent advancements in mechatronics and robotics have led to the emergence of a wide range of technologies with potential applications across various industries. This progress …
R Zhang, R Chai, S Chai, Y Xia… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
This article proposes a two-layer trajectory optimization method for the autonomous ground vehicle. This two-layer strategy includes an efficient path planning layer and a fast trajectory …
J Xiang, Z Nan, Z Song, J Huang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To handle two shortcomings of existing methods,(i) nearly all models rely on the high- definition (HD) maps, yet the map information is not always available in real traffic scenes …
Y Xie, X Zhang, S Zheng, CK Ahn… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Four-wheeled steerable mobile robots have been widely used in industrial fields. However, robust tracking control is hard to achieve with a fixed maneuver mode. Based on a novel …
Aiming at disadvantages of particle swarm optimization in the path planning of mobile robots, such as low convergence accuracy and easy maturity, this paper proposes an …
Y Shen, W Zhang, Y Zhang, N Huang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Five-axis sweep scanning is an emerging technology, which can achieve precise and efficient contact measurement. However, existing five-axis scanning path planning …
J Xiang, J Zhang, Z Nan - 2023 IEEE/RSJ International …, 2023 - ieeexplore.ieee.org
To handle the two shortcomings of existing methods,(i) nearly all models rely on high- definition (HD) maps, yet the map information is not always available in real traffic scenes …
Z Zhang, R Wu, Y Pan, Y Wang, Y Wang… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
In this letter, a general robust reference path selection method (RPSM) that can be integrated into current existing motion planning algorithms is proposed to improve the …
W Zhang, G Wang - Journal of Robotics, 2022 - Wiley Online Library
A reinforcement learning‐based continuous action space path planning method for mobile robots is proposed in this article. First, the kinematic model of the mobile robot is analyzed …