Name
Abstract | ||
|---|---|---|
Upon mapping swarm robots search to particle swarm optimisation (PSO) and proposing concept of time-varying character swarm (TVCS), the authors extend PSO to model swarm robotic system. Based on control principle of expected evolution position, an asynchronous communication policy is presented. Robot detects target signals in parallel to decide expected evolution position. The required time steps for completing the distance between two consecutive expected positions depend on kinematics constraints of robot. Meanwhile, robot evaluates positions it passes in every time step, updating its cognition as soon as when a better finding of itself has been found, updating shared information and broadcasting within TVCS if a better finding of swarm appears. Either listening change of shared information or reaching the current expected position, robot starts to compute new expected position and turn out next control round. Simulation results indicate that the presented communication strategy has advantage over popular ones in search efficiency. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1504/IJBIC.2009.023811 | IJBIC |
Keywords | Field | DocType |
expected evolution position,time-varying character swarm,current expected position,consecutive expected position,target search,mapping swarm robot,better finding,parallel asynchronous control strategy,model swarm robotic system,evolution position,particle swarm optimisation,new expected position,swarm robotics,robot kinematics,swarm robots,simulation,mobile robots | Particle swarm optimization,Asynchronous communication,Kinematics,Swarm behaviour,Robot kinematics,Artificial intelligence,Robot,Machine learning,Mobile robot,Mathematics,Swarm robotics | Journal |
Volume | Issue | ISSN |
1 | 3 | 1758-0366 |
Citations | PageRank | References |
11 | 0.79 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Songdong Xue | 1 | 24 | 4.31 |
| Jianhua Zhang | 2 | 11 | 0.79 |
| Jianchao Zeng | 3 | 930 | 94.89 |