Shepherding: Survey Papers and Books
- Abbass H.A. and Hunjet R. (Ed. 2020). Shepherding UxVs for Human Swarm Teaming: An Artificial Intelligence Approach to Unmanned X Vehicles. Springer. [Restricted Access From Publisher Website]
- Long, N. K., Sammut, K., Sgarioto, D., Garratt, M., & Abbass, H. A. (2020). A Comprehensive Review of Shepherding as a Bio-Inspired Swarm-Robotics Guidance Approach. IEEE Transactions on Emerging Topics in Computational Intelligence, 523 - 537. DOI:doi.org/10.1109/TETCI.2020.2992778.[Open Access arXiv Version]
Shepherding: Live Experimental Data
- Yaxley, K. J., Reid, A., Kenworthy, C., Hossny, M., Baxter, D.P., Allworth, B., McGrath, S.R., Joiner, K. F., & Abbass, H. (2022). Building a Sky Shepherd for the future of agriculture. Smart Agricultural Technology, Vol. 3, 100137. DOI:doi.org/10.1016/j.atech.2022.100137 [Open Access Version]
- Yaxley, K. J., Joiner, K. F., & Abbass, H. (2021). Drone approach parameters leading to lower stress sheep flocking and movement: sky shepherding. Scientific reports, 11(1), 1-9. DOI:doi.org/10.1038/s41598-021-87453-y [Open Access Version]
- Yaxley K.J., McIntyre N., Park J., & Healey J. (2021). Sky Shepherds: A Tale of a UAV and Sheep. In: Abbass H.A., Hunjet R.A. (eds) Shepherding UxVs for Human-Swarm Teaming. Unmanned System Technologies. Springer, Cham.DOI:doi.org/10.1007/978-3-030-60898-9_9 [Restricted Access From Publisher Website]
- Yaxley, K. J., Joiner, K. F., Bogais, J., & Abbass, H. A. (2020). Life Learning of Smart Autonomous Systems for Meaningful Human‐Autonomy Teaming. A Framework of Human Systems Engineering: Applications and Case Studies, 43-61.DOI:doi.org/10.1002/9781119698821.ch4 [Restricted Access From Publisher Website]
Shepherding: Modelling and Simulation
- Himo, R., Ogura, M., & Wakamiya, N. (2022). Iterative algorithm for shepherding unresponsive sheep. Mathematical Biosciences and Engineering, 19(4), 3509–3525. DOI:doi.org/10.3934/mbe.2022162 [Open Access Version]
- Campbell, B., El-Fiqi, H., Hunjet, R., & Abbass, H. A. (2021, July). Distributed Multi-agent Shepherding with Consensus. In International Conference on Swarm Intelligence (pp. 168-181). Springer, Cham. [Restricted Access]
- El-Fiqi, H., Campbell, B., Elsayed, S., Perry, A., Singh, H. K., Hunjet, R., & Abbass, H. A. (2020). The Limits of Reactive Shepherding Approaches for Swarm Guidance. IEEE Access, 8, 214658-214671. .DOI:doi.org/10.1109/ACCESS.2020.3037325 [Open Access Version]
- El-Fiqi, H., Campbell, B., Elsayed, S., Perry, A., Singh, H. K., Hunjet, R., & Abbass, H. (2020, July). A preliminary study towards an improved shepherding model. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion (pp. 75-76). DOI:doi.org/10.1145/3377929.3390067 [Open Access Version]
- Nguyen, H. T., Garratt, M., Bui, L. T., & Abbass, H. (2020). Disturbances in influence of a shepherding agent is more impactful than sensorial noise during swarm guidance. IEEE Symposium Series on Computational Intelligence, Canberra, Australia. DOI:doi.org/10.1109/SSCI47803.2020.9308448 [Open Access arXiv Version]
- Tsunoda, Y., Ishitani, M., Sueoka, Y., Osuka, K. (2019). Analysis of sheepdog-type navigation for a sheep model with dynamics. The Twenty-Fourth International Symposium on Artificial Life and Robotics (AROB 24th 2019), 499-503. [Open Access Version]
- Tsunoda, Y., Ishitani, M., Sueoka, Y., Osuka, K. (2019). Analysis of sheepdog-type navigation for minimal sheep model. Swarm 2019, 197-200. [Open Access Version]
Shepherding: Navigation and Control
- Elsayed, S., Singh, H., Debie, E., Perry, A., Campbell, B., Hunjet, R., & Abbass, H. (2020). Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution. IEEE Symposium Series on Computational Intelligence, Canberra, Australia. DOI:doi.org/10.1109/SSCI47803.2020.9308572 [Open Access arXiv Version]
- Singh H., Campbell B., Elsayed S., Perry A., Huntjet R. & Abbass H.A. (2019). Modulation of Force Vectors for Effective Shepherding of a Swarm: A Bi-Objective Approach. IEEE Congress on Evolutionary Computation, Wellington, New Zealand. DOI:doi.org/10.1109/CEC.2019.8790228 [Author Version]
Shepherding: Robotics
- Auletta, F., Fiore, D., Richardson, M. J., & di Bernardo, M. (in-press). Herding stochastic autonomous agents via local control rules and online global target selection strategies. Autonomous Robots, 2021. DOI:doi.org/ [Open Access arXiv Version]
- Tsunoda, Y., Sueoka, Y., Wada, T., & Osuka, K. (2020, January). Sheepdog-type robot navigation: Experimental verification based on a linear model. In 2020 IEEE/SICE International Symposium on System Integration (SII) (pp. 1144-1149). IEEE. DOI:doi.org/10.1109/SII46433.2020.9026218 [Open Access]
- Tsunoda, Y., Sueoka, Y., & Osuka, K. (2019). Exploration of sheepdog controller for sheep flock navigation based on the model derived from a real shepherding. In 9th International Symposium on Adaptive Motion of Animals and Machines (AMAM 2019) (No. CONF). DOI:doi.org/10.5075/epfl-BIOROB-AMAM2019-56 [Open Access]
- Tsunoda, Y., Sueoka, Y., Sato, Y., & Osuka, K. (2018). Analysis of local-camera-based shepherding navigation. Advanced Robotics, 32(23), 1217-1228. DOI:doi.org/10.1080/01691864.2018.1539410 [Open Access
[Author Copy]
- Tsunoda, Y., Sueoka, Y., & Osuka, K. (2017, December). On statistical analysis for shepherd guidance system. In 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO) (pp. 1246-1251). DOI:doi.org/10.1109/ROBIO.2017.8324588 [Restricted Access]
Shepherding: Indicators and Markers
- Hepworth, A. J., Hussein, A., Reid, D. J., & Abbass, H. (2022). Swarm analytics: Designing information markers to characterise swarm systems in shepherding contexts. Adaptive Behavior, 10597123221137090. DOI:doi.org/10.1177/10597123221137090 [Open Access arxiv Version]
- Hepworth, A. J., Yaxley, K. J., Baxter, D. P., Joiner, K. F., & Abbass, H. (2020, December). Tracking Footprints in a Swarm: Information-Theoretic and Spatial Centre of Influence Measures. DOI:doi.org/10.1109/SSCI47803.2020.9308537 [Open Access Techrxiv Version]
Shepherding: Communication
- Mohamed, R. E., Elsayed, S., Hunjet, R., & Abbass, H. (2021, November). Deep Learning For Noisy Communication System. In 2021 31st International Telecommunication Networks and Applications Conference (ITNAC) (pp. 40-47). IEEE. DOI:doi.org/10.1109/ITNAC53136.2021.9652171 [Author Copy]
- Mohamed, R. E., Elsayed, S., Hunjet, R., & Abbass, H. (2021, June). A Graph-based Approach for Shepherding Swarms with Limited Sensing Range. In 2021 IEEE Congress on Evolutionary Computation (CEC) (pp. 2315-2322). IEEE. DOI:doi.org/10.1109/CEC45853.2021.9504706 [Author Copy]
Shepherding: Machine Learning
- Hussein A., Petraki E., El-Sawah S., & Abbass, H.A. (2022). Autonomous Swarm Shepherding Using Curriculum-Based Reinforcement Learning. AAMAS 2022, Auckland, NZ. DOI:doi.org/ [Author Version]
- Zhi, J., & Lien, J. M. (2021). Learning to herd agents amongst obstacles:
Training robust shepherding behaviors using deep reinforcement learning . IEEE Robotics and Automation Letters, 6(2), 4163-4168. DOI:doi.org/10.1109/LRA.2021.3068955 [Open Access arXiv Version]
- Debie, E., Singh, H., Elsayed, S., Perry, A., Hunjet, R., & Abbass, H.A. (2020). A Neuro-Evolution Approach to Shepherding Swarm Guidance in the Face of Uncertainty. In 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 2634-2641). IEEE. DOI:doi.org/10.1109/SMC52423.2021.9659082 [Author Version]
- Nguyen T., Liu J., Nguyen H., Kasmarik K., Anavatti S., Garratt M., & Abbass, H.A. (2020). Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding. Joint International Conference on Neural Networks (IJCNN 2020), Glasgow, UK. DOI:doi.org/10.1109/IJCNN48605.2020.9207539 [Author Version]
- Nguyen T., Nguyen H., Tan V., Garratt M., Kasmarik K., Anavatti S., Barlow M., & Abbass, H.A. (2020). Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding. arXiv.[Open Access arXiv Version]
- Nguyen H., Garratt M., Bui L., & Abbass, H.A. (2019). Apprenticeship Learning for Continuous State Spaces and Actions in a Swarm-Guidance Shepherding Task. IEEE Symposium Series on Computational Intelligence, (IEEE SSCI19), Xiamen, China. DOI:doi.org/10.1109/SSCI44817.2019.9002756 [Author Version]
- Gee A. and Abbass H.A. (2019).Transparent Machine Education of Neural Networks for Swarm Shepherding Using Curriculum Design. International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary. DOI:doi.org/ [Open Access arXiv Version]
- Clayton N. and Abbass H.A. (2019).Machine Teaching in Hierarchical Genetic Reinforcement Learning: Curriculum Design of Reward Functions for Swarm Shepherding. IEEE Congress on Evolutionary Computation, Wellington, New Zealand. DOI:doi.org/10.1109/CEC.2019.8790157 [Open Access arXiv Version]
Shepherding: Human-Machine Teaming
-
- Abbass, H., Petraki, E., and Hunjet, R. (2022). JSwarm: A Jingulu-Inspired Human-AI-Teaming Language for Context-Aware Swarm Guidance, Frontiers Physics. https://www.frontiersin.org/articles/10.3389/fphy.2022.944064/full [Open Access Version]
- A. J. Hepworth, D. P. Baxter and H. A. Abbass, Onto4MAT: A Swarm Shepherding Ontology for Generalized Multiagent Teaming. IEEE Access, vol. 10, pp. 59843-59861, 2022, doi:10.1109/ACCESS.2022.3180032. [Open Access Version]
- Baxter, D. P., Hepworth, A. J., Joiner, K. F., and H. A. Abbass, On the premise of a swarm guidance ontology for human-swarm teaming. Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 66, No. 1, pp. 2249-2253). Sage CA: Los Angeles, CA: SAGE Publications. doi:10.1177/1071181322661541. [Open Access Version]
- Hepworth, A. J., Baxter, D. P., Hussein, A., Yaxley, K. J., Debie, E., & Abbass, H. A. (2021). Human-swarm-teaming transparency and trust architecture. IEEE/CAA Journal of Automatica Sinica, 8(7), 1281-12950. DOI:doi.org/10.1109/JAS.2020.1003545 [Author Copy]
- Auletta, F., di Bernardo, M., & Richardson, M. J. (2021). Human-inspired strategies to solve complex joint tasks in multi agent systems. IFAC-PapersOnLine, 54(17), 105-110. DOI:doi.org/10.1016/j.ifacol.2021.11.033 [Open Access Version]
- Nalepka, P., Silva, P. L., Kallen, R. W., Shockley, K., Chemero, A., Saltzman, E., & Richardson, M. J. (2021). Task dynamics define the contextual emergence of human corralling behaviors. PloS one, 16(11), e0260046. DOI:doi.org/10.1371/journal.pone.0260046 [Open Access Version]
- Debie, E., El-fiqi H., Fidock, J., Barlow, M., Merrick, K., Anavatti, S., Garratt, M., & Abbass H.A. (2021). A Trust-Based, Adjustable, Autonomous Recommender System for Reconnaissance Tasks using a Swarm of UAVs and Asynchronous Shepherding. Human-Intelligent Systems Integration, 3(2), 175-186. DOI:doi.org/10.1007/s42454-020-00024-w [Author Version]
- Rigoli, L. M., Nalepka, P., Douglas, H., Kallen, R. W., Hosking, S., Best, C., Saltzman, E., & Richardson, M. (2020). Employing models of human social motor behavior for artificial agent trainers. AAMAS 2020, 1134-1142. DOI:doi.org/10.5555/3398761.3398893 [Open Access Version]
- Raul F.R., Debie, E., Fidock, J., Barlow, M., Merrick, K., Anavatti, S., Garratt, M., & Abbass H.A. (2020). Electroencephalographic Workload Indicators During Teleoperation of an Unmanned Aerial Vehicle Shepherding a Swarm of Unmanned Ground Vehicles in Contested Environments. Frontiers Neuroscience, 14:40. DOI:doi.org/10.3389/fnins.2020.00040 [Open Access Version]
- Nalepka, P., Lamb, M., Kallen, R. W., Shockley, K., Chemero, A., Saltzman, E., & Richardson, M. J. (2019). Human social motor solutions for human–machine interaction in dynamical task contexts. Proceedings of the National Academy of Sciences, 116(4), 1437-1446. DOI:10.1073/pnas.1813164116 [Open Access]
- Wade H., and Abbass H.A. (2019). Cyber-Shepherd: A Smartphone-based Game for Human and Autonomous Swarm Control. IEEE Systems, Man, Cybernetics Conference, Bari, Italy. DOI:doi.org/10.1109/SMC.2019.8914378 [Author Version]
- Nalepka, P., Kallen, R. W., Chemero, A., Saltzman, E., & Richardson, M. J. (2017). Herd those sheep: Emergent multiagent coordination and behavioral-mode switching. Psychological science, 28(5), 630-650. DOI:10.1177/0956797617692107 [Restricted Access]