Research on path planning of mobile robot based on improved ant colony algorithm

By Qiang Luo, Haibao Wang, Yan Zheng, Jingchang He. Neural computing & applications (Print), 2019

347 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/1489eb72b0de0f225a7a194964d3c602eee36e85

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Alfonso J. García-Cerezo
2. Carlos Jesús Pérez-del-Pulgar
3. J. Sánchez-Ibáñez

In Computer Vision and Pattern Recognition

1. Alfonso J. García-Cerezo
2. Carlos Jesús Pérez-del-Pulgar
3. J. Sánchez-Ibáñez

In Industrial and Manufacturing Engineering

1. Alfonso J. García-Cerezo
2. Carlos Jesús Pérez-del-Pulgar
3. J. Sánchez-Ibáñez

Citations in the corpus

• Path Planning for Autonomous Mobile Robots: A Review (2021, background): “Luo et al. [123] present some improvements for ACO to not only avoid deadlocks but also to reduce the time it needs to converge.”