[HTML][HTML] Improved analytic expansions in hybrid a-star path planning for non-holonomic robots

CV Dang, H Ahn, DS Lee, SC Lee - Applied Sciences, 2022 - mdpi.com
In this study, we concisely investigate two phases in the hybrid A-star algorithm for non-
holonomic robots: the forward search phase and analytic expansion phase. The forward …

Smoothed a-star algorithm for nonholonomic mobile robot path planning

SA Gunawan, GNP Pratama, AI Cahyadi… - … on Information and …, 2019 - ieeexplore.ieee.org
There are various path planning methods for mobile robots and one of them is A-star
algorithm. It serves fairly well for looking the path accurately. Unfortunately, the conventional …

Global path planning based on a bidirectional alternating search A* algorithm for mobile robots

C Li, X Huang, J Ding, K Song, S Lu - Computers & Industrial Engineering, 2022 - Elsevier
While the A* algorithm has been widely investigated and applied in path planning problems,
it has outstanding issues such as long calculation time, large turning angles, and the …

Forward search optimization and subgoal-based hybrid path planning to shorten and smooth global path for mobile robots

H Li, T Zhao, S Dian - Knowledge-Based Systems, 2022 - Elsevier
The characteristics of the path in length, smoothness, and safety are critical to the behavior
of autonomous mobile robots. However, in searching-based global path planning, the …

[HTML][HTML] High-efficiency navigation of nonholonomic mobile robots based on improved hybrid A* algorithm

Z Chi, Z Yu, Q Wei, Q He, G Li, S Ding - Applied Sciences, 2023 - mdpi.com
With the development of automation technologies, autonomous robots are increasingly used
in many important applications. However, precise self-navigation and accurate path …

[HTML][HTML] Fusion algorithm of the improved A* algorithm and segmented bezier curves for the path planning of mobile robots

R Lai, Z Wu, X Liu, N Zeng - Sustainability, 2023 - mdpi.com
In terms of mobile robot path planning, the traditional A* algorithm has the following
problems: a long searching time, an excessive number of redundant nodes, and too many …

Efficient trajectory planning for multiple non-holonomic mobile robots via prioritized trajectory optimization

J Li, M Ran, L Xie - IEEE Robotics and Automation Letters, 2020 - ieeexplore.ieee.org
In this letter, we present a novel approach to efficiently generate collision-free optimal
trajectories for multiple non-holonomic mobile robots in obstacle-rich environments. Our …

Improved A-star algorithm for robot path planning in static environment

T XiangRong, Z Yukun, J XinXin - Journal of Physics: Conference …, 2021 - iopscience.iop.org
* Corresponding author's e-mail: jiangxx@ ybu. edu. cn abstract: A-star algorithm is a kind of
simple path planning algorithm without solving the calculus, which has a high application …

Accelerating bi-directional sampling-based search for motion planning of non-holonomic mobile manipulators

S Thakar, P Rajendran, H Kim… - 2020 IEEE/RSJ …, 2020 - ieeexplore.ieee.org
Determining a feasible path for nonholonomic mobile manipulators operating in congested
environments is challenging. Sampling-based methods, especially bi-directional tree search …

Path planning using an improved a-star algorithm

C Ju, Q Luo, X Yan - 2020 11th International Conference on …, 2020 - ieeexplore.ieee.org
There has been a heated issue in the field of robotics about how to plan the shortest path of
a map with obstacles. This papers mainly analysis the issues about the path planned are not …