Development of an Enhanced Obstacle Avoidance Algorithm for a Network-Based Autonomous Mobile Robot

Kim, Daewon; Kim, Joomin; Bae, Jongwoo; Soh, Youngsung

doi:10.1109/icicta.2010.899

Cited by 5 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Though VFH, unlike APF strategy, does well in narrow spaces, if the size and kinematics of the robot are not taken into consideration it can fail especially in narrow passages [112]. Incorrect target positioning may also result in VFH algorithm not being reliable [113].…”

Section: Challenges Of Conventional Path Planning Methodsmentioning

confidence: 99%

“…There are many other hybrid approaches used for path planning that did not include FL. Some of these include APF combined with SA [216], PSO combined with gravitational search (GS) algorithm [283], VFH algorithm combined with Kalman Filter [113], integrating game theory and geometry [284], combination of differential global positioning system (DGPS), APF, FL and A * path planning algorithm [41], A * search and discrete optimization methods [92], a combination of differential equation and SMC [243], virtual obstacle concept was combined with APF [106], and recently the use of LIDAR sensor accompanied with curve fitting. Few of such methods are discussed in this section.…”

Section: Other Hybrid Path Planningmentioning

confidence: 99%

See 1 more Smart Citation

An Overview of Nature-Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning

Ayawli

Chellali

Appiah

et al. 2018

Journal of Advanced Transportation

View full text Add to dashboard Cite

Safe and smooth mobile robot navigation through cluttered environment from the initial position to goal with optimal path is required to achieve intelligent autonomous ground vehicles. There are countless research contributions from researchers aiming at finding solution to autonomous mobile robot path planning problems. This paper presents an overview of nature-inspired, conventional, and hybrid path planning strategies employed by researchers over the years for mobile robot path planning problem. The main strengths and challenges of path planning methods employed by researchers were identified and discussed. Future directions for path planning research is given. The results of this paper can significantly enhance how effective path planning methods could be employed and implemented to achieve real-time intelligent autonomous ground vehicles.

show abstract

Section: Challenges Of Conventional Path Planning Methodsmentioning

confidence: 99%

Section: Other Hybrid Path Planningmentioning

confidence: 99%

An Overview of Nature-Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning

Ayawli

Chellali

Appiah

et al. 2018

Journal of Advanced Transportation

View full text Add to dashboard Cite

show abstract

“…As a key component of power transmission and distribution system, the stable operation of substation is very important to ensure the reliability of power supply [1][2]. However, the traditional manual inspection method has some limitations, such as excessive security risks, inefficient operation and maintenance costs and insufficient human resources [3][4]. Machine vision technology is a technology that combines computer vision with artificial intelligence.…”

Section: Introductionmentioning

confidence: 99%

Navigation of Substation Inspection Robot Based on Machine Vision

Fan,

Zhu,

Chen

et al. 2024

Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development,

View full text Add to dashboard Cite

The research on robot navigation of substation inspection based on machine vision has important background significance. The purpose of this study is to evaluate and optimize the application effect of machine vision in the navigation of substation inspection robot. The experimental data show that the navigation system based on machine vision achieves 92.5% navigation accuracy and 85.2% navigation accuracy in environment A, which provides strong support for improving the efficiency and safety of substation inspection. In addition, it is found that the navigation accuracy drops to 76.4% and 64.9% in the case of sensor failure, so it is necessary to further improve the sensor system. Machine vision navigation technology has great potential in substation inspection robot, which is worthy of in-depth research and application.

show abstract

VFH+D: An Improvement on the VFH+ Algorithm for Dynamic Obstacle Avoidance and Local Planning

Díaz

Marín

2020

IFAC-PapersOnLine

View full text Add to dashboard Cite

Development of an Enhanced Obstacle Avoidance Algorithm for a Network-Based Autonomous Mobile Robot

Cited by 5 publications

References 7 publications

An Overview of Nature-Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning

An Overview of Nature-Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning

Navigation of Substation Inspection Robot Based on Machine Vision

VFH+D: An Improvement on the VFH+ Algorithm for Dynamic Obstacle Avoidance and Local Planning

Contact Info

Product

Resources

About