Adaptive Swarm Robot Region Coverage Using Gene Regulatory Networks

Oh H, Jin Y (2014)
In: Advances in Autonomous Robotics Systems. Mistry M, Leonardis A, Witkowski M, Melhuish C (Eds); Lecture Notes in Computer Science. Cham: Springer International Publishing: 197-208.

Sammelwerksbeitrag | Veröffentlicht | Englisch
 
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Autor*in
Oh, Hyondong; Jin, YaochuUniBi
Herausgeber*in
Mistry, Michael; Leonardis, Aleš; Witkowski, Mark; Melhuish, Chris
Abstract / Bemerkung
This paper proposes a morphogenetic pattern formation approach for collective systems to cover a desired region for target entrapment. This has been achieved by combining a two-layer hierarchical gene regulatory network (H-GRN) with a region-based shape control strategy. The upper layer of the H-GRN is for pattern generation that provides a desired region for entrapping targets generated from local sensory inputs of detected targets. This pattern is represented by a set of arc segments, which allow us to form entrapping shape constraints with the minimum information that can be easily used by the lower layer of the H-GRN. The lower layer is for region-based shape control consisting of two steps: guiding all robots into the desired region designated by the upper layer, and maintaining a specified minimum distance between each robot and its neighbouring robots. Numerical simulations have been performed for scenarios containing either static and moving targets to validate the feasibility and benefits of the proposed approach.
Erscheinungsjahr
2014
Buchtitel
Advances in Autonomous Robotics Systems
Serientitel
Lecture Notes in Computer Science
Seite(n)
197-208
ISBN
978-3-319-10400-3
eISBN
978-3-319-10401-0
ISSN
0302-9743
eISSN
1611-3349
Page URI
https://pub.uni-bielefeld.de/record/2978544

Zitieren

Oh H, Jin Y. Adaptive Swarm Robot Region Coverage Using Gene Regulatory Networks. In: Mistry M, Leonardis A, Witkowski M, Melhuish C, eds. Advances in Autonomous Robotics Systems. Lecture Notes in Computer Science. Cham: Springer International Publishing; 2014: 197-208.
Oh, H., & Jin, Y. (2014). Adaptive Swarm Robot Region Coverage Using Gene Regulatory Networks. In M. Mistry, A. Leonardis, M. Witkowski, & C. Melhuish (Eds.), Lecture Notes in Computer Science. Advances in Autonomous Robotics Systems (pp. 197-208). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-10401-0_18
Oh, Hyondong, and Jin, Yaochu. 2014. “Adaptive Swarm Robot Region Coverage Using Gene Regulatory Networks”. In Advances in Autonomous Robotics Systems, ed. Michael Mistry, Aleš Leonardis, Mark Witkowski, and Chris Melhuish, 197-208. Lecture Notes in Computer Science. Cham: Springer International Publishing.
Oh, H., and Jin, Y. (2014). “Adaptive Swarm Robot Region Coverage Using Gene Regulatory Networks” in Advances in Autonomous Robotics Systems, Mistry, M., Leonardis, A., Witkowski, M., and Melhuish, C. eds. Lecture Notes in Computer Science (Cham: Springer International Publishing), 197-208.
Oh, H., & Jin, Y., 2014. Adaptive Swarm Robot Region Coverage Using Gene Regulatory Networks. In M. Mistry, et al., eds. Advances in Autonomous Robotics Systems. Lecture Notes in Computer Science. Cham: Springer International Publishing, pp. 197-208.
H. Oh and Y. Jin, “Adaptive Swarm Robot Region Coverage Using Gene Regulatory Networks”, Advances in Autonomous Robotics Systems, M. Mistry, et al., eds., Lecture Notes in Computer Science, Cham: Springer International Publishing, 2014, pp.197-208.
Oh, H., Jin, Y.: Adaptive Swarm Robot Region Coverage Using Gene Regulatory Networks. In: Mistry, M., Leonardis, A., Witkowski, M., and Melhuish, C. (eds.) Advances in Autonomous Robotics Systems. Lecture Notes in Computer Science. p. 197-208. Springer International Publishing, Cham (2014).
Oh, Hyondong, and Jin, Yaochu. “Adaptive Swarm Robot Region Coverage Using Gene Regulatory Networks”. Advances in Autonomous Robotics Systems. Ed. Michael Mistry, Aleš Leonardis, Mark Witkowski, and Chris Melhuish. Cham: Springer International Publishing, 2014. Lecture Notes in Computer Science. 197-208.

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