Project Details
Abstract
This is a two-year term project, where the particle swarm optimization (PSO) algorithm
is utilized for swarm-robot systems. The goals of this project include target searching,
formation control, obstacle avoidance, and cooperative movement. The topics of concern
consist of the study of swarm theory, mobile robot design and implementation,
static/dynamic target searching and guidance. In the swarm theory, a randomly searching
mechanism will be introduced to avoid premature convergence in local optima in a
dynamical varying environment. Stochastic adaptive PSO has the advantages that few
parameters are required to be tuned and the re-searching ability is significantly improved. A
self-design and -implement swarm robots system will be considered for the proposed
algorithms. It is optimistic to see that that the research results will make progress for the
intelligent evolutionary computation and the design of intelligent robots.
Project IDs
Project ID:PB9902-2197
External Project ID:NSC98-2221-E182-042-MY2
External Project ID:NSC98-2221-E182-042-MY2
Status | Finished |
---|---|
Effective start/end date | 01/08/10 → 31/07/11 |
Keywords
- Particle Swarm Optimization Algorithm
- Swarm Robots
- Swarm Searching
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.