Name
Abstract | ||
|---|---|---|
Swarming and modular robotic locomotion are two disconnected behaviours that a group of small homogeneous robots can be used to achieve. The use of these two behaviours is a popular subject in robotics research involving search, rescue and exploration. However, they are rarely addressed as two behaviours that can coexist within a single robotic system. Here, we present a bio-inspired decision mechanism, which provides a convenient way for evolution to configure the conditions and timing of behaving as a swarm or a modular robot in an exploration scenario. The decision mechanism switches among two behaviours that are previously developed (a pheromone-based swarm control and a sinusoidal rectilinear modular robot movement). We use Genetic Programming (GP) to evolve the controller for these decisions, which acts without a centralized mechanism and with limited inter-robot communication. The results show that the proposed bio-inspired decision mechanism provides an evolvable medium for the GP to utilize in evolving an effective decision-making mechanism. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.3390/robotics2030165 | ROBOTICS |
Keywords | Field | DocType |
collective robotics, modular robotics, swarm robotics, hormone-inspired, XGP, Genetic Programming, reconfigurable robotics, pheromone-inspired | Swarm behaviour,Control engineering,Genetic programming,Self-reconfiguring modular robot,Bio-inspired robotics,Artificial intelligence,Modular design,Robotic paradigms,Engineering,Robot,Distributed computing,Swarm robotics | Journal |
Volume | Issue | Citations |
2 | 3 | 2 |
PageRank | References | Authors |
0.43 | 13 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tüze Kuyucu | 1 | 39 | 5.64 |
| Ivan Tanev | 2 | 278 | 46.51 |
| Katsunori Shimohara | 3 | 327 | 106.53 |