Multitarget Search of Swarm Robots in Unknown Complex Environments
When searching for multiple targets in an unknown complex environment, swarm robots should firstly form a number of subswarms autonomously through a task division model and then each subswarm searches for a target in parallel. Based on the probability response principle and multitarget division stra...
Saved in:
Main Authors: | You Zhou, Anhua Chen, Hongqiang Zhang, Xin Zhang, Shaowu Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/8643120 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Adaptive Particle Swarm Optimization Algorithm for Distributed Search and Collective Cleanup in Complex Environment
by: Yi Cai, et al.
Published: (2013-12-01) -
An Improved HM-SAC-CA Algorithm for Mobile Robot Path Planning in Unknown Complex Environments
by: Ting Jiao, et al.
Published: (2025-01-01) -
Towards Multitarget Testing in Molecular Microbiology
by: Deborah Steensels, et al.
Published: (2013-01-01) -
Machine Learning-Based Multitarget Tracking of Motion in Sports Video
by: Xueliang Zhang, et al.
Published: (2021-01-01) -
Adaptive coverage control for multi-USV system in complex environment with unknown obstacles
by: Yao Yao, et al.
Published: (2021-06-01)