Editorial: Special Issue “Swarm Robotics”
Source abstract
Abstract
Swarm robotics is the study of how to coordinate large groups of relatively simple robots through the use of local rules so that a desired collective behavior emerges from their interaction [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Modular Robots and Swarm Intelligence · Distributed Control Multi-Agent Systems · Micro and Nano Robotics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute for High Performance Computing and Networking (ICAR), National Research Council of Italy (CNR), Via Pietro Bucci, 8-9C, 87036 Rende (CS), Italy
References (21)
Show source-provided references
1. Şahin, E., and Spears, W. (2005). From swarm intelligence to swarm robotics. Swarm Robotics Workshop: State-of-the-Art Survey, Springer.10.1007/b105069 ↗
2. Camazine, S., Deneubourg, J.-L., Franks, N., Sneyd, J., Theraulaz, G., and Bonabeau, E. (2001). Self-Organization in Biological Systems, Princeton University Press.
3. Bonabeau, E., Dorigo, M., and Theraulaz, G. (1999). Swarm Intelligence: From Natural to Artificial Systems, Oxford University Press.10.1093/oso/9780195131581.001.0001 ↗
4. Ceraso, D., and Spezzano, G. (2016, January 18–22). Controlling swarms of medical nanorobots using CPPSO on a GPU. Proceedings of the 2016 International Conference on High Performance Computing & Simulation (HPCS), Innsbruck, Austria.10.1109/HPCSim.2016.7568316 ↗
5. Albani, D., IJsselmuiden, J., Haken, R., and Trianni, V. (September, January 29). Monitoring and mapping with robot swarms for agricultural applications. Proceedings of the 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Lecce, Italy.10.1109/AVSS.2017.8078478 ↗
6. Swarm intelligence-based algorithms within IoT-based systems: A review10.1016/j.jpdc.2018.08.007 ↗
7. Yang, J., Wang, X., and Bauer, P. (2018). V-Shaped Formation Control for Robotic Swarms Constrained by Field of View. Appl. Sci., 8.10.3390/app8112120 ↗
8. Liu, Y., Gao, J., Shi, X., and Jiang, C. (2018). Decentralization of Virtual Linkage in Formation Control of Multi-Agents via Consensus Strategies. Appl. Sci., 8.10.3390/app8112020 ↗
9. Liu, Y., Gao, J., Liu, C., Zhao, F., and Zhao, J. (2018). Reconfigurable Formation Control of Multi-Agents Using Virtual Linkage Approach. Appl. Sci., 8.10.3390/app8071109 ↗
10. Tan, W., Wei, H., and Yang, B. (2018). SambotII: A New Self-Assembly Modular Robot Platform Based on Sambot. Appl. Sci., 8.10.3390/app8101719 ↗
11. Leader–Follower Formation Maneuvers for Multi-Robot Systems via Derivative and Integral Terminal Sliding Mode10.3390/app8071045 ↗
12. Nishikawa, N., Suzuki, R., and Arita, T. (2018). Exploration of Swarm Dynamics Emerging from Asymmetry. Appl. Sci., 8.10.3390/app8050729 ↗
13. Garcia-Aunon, P., and Barrientos Cruz, A. (2018). Comparison of Heuristic Algorithms in Discrete Search and Surveillance Tasks Using Aerial Swarms. Appl. Sci., 8.10.3390/app8050711 ↗
14. Wang, W., Bai, P., Li, H., and Liang, X. (2018). Optimal Configuration and Path Planning for UAV Swarms Using a Novel Localization Approach. Appl. Sci., 8.10.3390/app8061001 ↗
15. Pan, L., Lu, Q., Yin, K., and Zhang, B. (2018). Signal Source Localization of Multiple Robots Using an Event-Triggered Communication Scheme. Appl. Sci., 8.10.3390/app8060977 ↗
16. Lee, K.-B., Kim, Y.-J., and Hong, Y.-D. (2018). Real-Time Swarm Search Method for Real-World Quadcopter Drones. Appl. Sci., 8.10.3390/app8071169 ↗
17. Ge, H., Chen, G., and Xu, G. (2018). Multi-AUV Cooperative Target Hunting Based on Improved Potential Field in a Surface-Water Environment. Appl. Sci., 8.10.3390/app8060973 ↗
18. Jin, X., and Kim, J. (2017). 3D Model Identification Using Weighted Implicit Shape Representation and Panoramic View. Appl. Sci., 7.10.3390/app7080764 ↗
19. Cheng, L., Wu, X.-H., and Wang, Y. (2018). Artificial Flora (AF) Optimization Algorithm. Appl. Sci., 8.10.3390/app8030329 ↗
20. Połap, D., Kęsik, K., Woźniak, M., and Damaševičius, R. (2018). Parallel Technique for the Metaheuristic Algorithms Using Devoted Local Search and Manipulating the Solutions Space. Appl. Sci., 8.10.3390/app8020293 ↗
21. Event-Driven Sensor Deployment in an Underwater Environment Using a Distributed Hybrid Fish Swarm Optimization Algorithm10.3390/app8091638 ↗