CHAIR OF

COMPUTATIONAL

INTELLIGENCE

Seminar Swarm Robotics

 If you are interested to attend the seminar, please come to the first meeting 10.04.2019 9:15 in the swarmLab (G29-035).

In case there are more students than available topics, there will be a selection process. You do not have to write us emails before the first meeting to register.

Both students of the master- and the bachelor seminar are required to participate in all the seminar dates. Make sure that you can attend the seminar 9:15 to 12:15.

You can download the slides for there first meeting here.

How to give a technical talk

How to write a paper

Topics

• Topic 1: Tasks of Swarm Robotics (SR)
  • 1a Bachelor: Overview
  • 1b Master: Foraging in Swarm Robotics
    • Sahin, E. (2005). Swarm Robotics: From Sources of Inspiration to Domains of Application.

    • Bayindir, L. (2016). A review of swarm robotics tasks. Neurocomputing, 172, 292321.

    • Font Llenas, A., Talamali, M. S., Xu, X., Marshall, J. A. R., & Reina, A. (2018). Quality-sensitive foraging by a robot swarm through virtual pheromone trails.

    • Khaldi, B., & Cherif, F. (2015). An Overview of Swarm Robotics: Swarm Intelligence Applied to Multi-robotics. International Journal of Computer Applications, 126(2), 3137.

• Topic 2: Localisation in SR
  • 2a: Localization Algorithms in SR
  • 2b: Pattern Formation in SR

    • Coppola, M., Guo, J., Gill, E., & de Croon, G. C. H. E. (2019). Provable self-organizing pattern formation by a swarm of robots with limited knowledge.

    • Ma, D., Er, M. J., & Wang, B. (2010). Analysis of hop-count-based source-to-destination distance estimation in wireless sensor networks with applications in localization. IEEE Transactions on Vehicular Technology, 59(6), 29983011.

    • Rubenstein, M., Cornejo, A., & Nagpal, R. (2014). Programmable self-assembly in a thousand-robot swarm. Science, 345(6198), 795-799.

• Topic 3: Path Planning in Multi-Agent Systems
  
  • 3a: Collision Avoidance
  • 3b: Cooperative Path Planning in Multi-Agent Systems

    • Cao, C., Trautman, P., & Iba, S. (2019). Dynamic Channel: A Planning Framework for Crowd Navigation.

    • Wang, Q., Fang, H., Chen, J., Mao, Y., & Dou, L. (2012). Flocking with obstacle avoidance and connectivity maintenance in multi-agent systems. In Proceedings of the IEEE Conference on Decision and Control (pp. 40094014). https://doi.org/10.1109/CDC.2012.6426472

    • Desaraju, V. R., & How, J. P. (2011). Decentralized path planning for multi-agent teams in complex environments using rapidly-exploring random trees. Proceedings - IEEE International Conference on Robotics and Automation, (May), 49564961. https://doi.org/10.1109/ICRA.2011.5980392

• Topic 4: Communication in Swarm Robotics
  • 4a: Communication in SR
  • 4b: Indirect communication and Stigmergy in SR
    • Font Llenas, A., Talamali, M. S., Xu, X., Marshall, J. A. R., & Reina, A. (2018). Quality-sensitive foraging by a robot swarm through virtual pheromone trails.

    • Hecker, J. P., & Moses, M. E. (2015). Beyond pheromones: evolving error-tolerant, flexible, and scalable ant-inspired robot swarms. Swarm Intelligence, 9(1), 4370.

    • Navarro, I., & Matía, F. (2013). An Introduction to Swarm Robotics. ISRN Robotics, 2013, 110.

• Topic 5: Collective search
  • 5a Bachelor: Collective Search algorithms
  • 5b Master: Signal Source localization

    • Hereford, J., & Siebold, M. (2008). Multi-robot search using a physically-embedded Particle Swarm Optimization. International Journal of Computational Intelligence Research, 4(2).

    • Zhang, Y., Ma, X., & Miao, Y. (2011). Localization of multiple odor sources using modified glowworm swarm optimization with collective robots. Proceedings of the 30th Chinese Control Conference.

    • Senanayake, M., Senthooran, I., Barca, J. C., Chung, H., Kamruzzaman, J., & Murshed, M. (2016). Search and tracking algorithms for swarms of robots: A survey. Robotics and Autonomous Systems, 75, 422434.

• Topic 6: Collaborative Manipulation
  • Not Assigned: Object transportation in SR (in homogeneous swarms)
  • Not Assigned: Collaborative object detection and transportation (in heterogenous swarms)
    • Rubenstein, M., Cabrera, A., Werfel, J., & Habibi, G. (2013). Collective transport of complex objects by simple robots.

    • Mondada, F., Gambardella, L. M., Floreano, D., Nolfi, S., Deneubourg, J. L., & Dorigo, M. (2005). The cooperation of swarm-bots: Physical interactions in collective robotics. IEEE Robotics and Automation Magazine, 12(2), 2128.

• Topic 7: Evolutionary Robotics
  • 7a Bachelor: Overview Evolutionary Robotics

    • Francesca, G., Brambilla, M., Brutschy, A., Trianni, V., & Birattari, M. (2014). AutoMoDe: A novel approach to the automatic design of control software for robot swarms. Swarm Intelligence, 8(2), 89112.

    • Mukhlish, F., Page, J., & Bain, M. (2018). Evolutionary-learning framework: improving automatic swarm robotics design. International Journal of Intelligent Unmanned Systems, 6(4), 197215.

    • Floreano, D., Husbands, P., & Nolfi, S. (2008). Evolutionary robotics. Springer handbook of robotics, 1423-1451.
  • 7b Master: Collective Decision Making in SR
    • Valentini, G., Ferrante, E., Hamann, H., & Dorigo, M. (2016). Collective decision with 100 Kilobots: speed versus accuracy in binary discrimination problems. Autonomous Agents and Multi-Agent Systems, 30(3), 553580.

    • Hamann, H. (2013). Towards swarm calculus: Urn models of collective decisions and universal properties of swarm performance. Swarm Intelligence, 7(23), 145172.

Dates