Extended PSO Based Collaborative Searching for Robotic Swarms With Practical Constraints
Applying swarm intelligence to actual swarm robotic systems is a challenging task especially with adequately consideration of corresponding practical constraints. Under the restrictions of the field-of-view limited relative positioning, local sensing and communication, kinematic limitations as well...
Main Authors: | Jian Yang, Xin Wang, Peter Bauer |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8733044/ |
Similar Items
-
Particle Swarm Optimization—An Adaptation for the Control of Robotic Swarms
by: George Rossides, et al.
Published: (2021-04-01) -
An Enhanced Partial Search to Particle Swarm Optimization for Unconstrained Optimization
by: Shu-Kai S. Fan, et al.
Published: (2019-04-01) -
SELF-COLLISION AVOIDANCE OF ARM ROBOT USING GENERATIVE ADVERSARIAL NETWORK AND PARTICLES SWARM OPTIMIZATION (GAN-PSO)
by: Zendi Iklima, et al.
Published: (2021-02-01) -
Active Sensing for Collaborative Localization in Swarm Robotics
by: Yang, Shengsong
Published: (2020) -
Particle Swarm Optimization and Cuckoo Search-Based Approaches for Quadrotor Control and Trajectory Tracking
by: Nada El Gmili, et al.
Published: (2019-04-01)