Biblio

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E. R. Hunt, “Evolutionary Stress Factors for Adaptable Robot 'Personalities'”, in Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020, pp. 1387–1388.
E. R. Hunt, Jones, S., and Hauert, S., “Testing the limits of pheromone stigmergy in high-density robot swarms”, Royal Society Open Science, vol. 6, p. 190225, 2019.
E. R. Hunt, Jenkinson, G., Wilsher, M., Dettmann, C. P., and Hauert, S., “SPIDER: a Bioinspired Swarm Algorithm for Adaptive Risk-Taking”, Artificial Life Conference Proceedings, vol. 32, pp. 44-51, 2020.
E. R. Hunt, “Phenotypic Plasticity Provides a Bioinspiration Framework for Minimal Field Swarm Robotics”, Frontiers in Robotics and AI, vol. 7. p. 23, 2020.
E. R. Hunt, Franks, N. R., and Baddeley, R. J., “The Bayesian Superorganism: Collective Probability Estimation in Swarm Systems”, Artificial Life Conference Proceedings, vol. 32, pp. 315-323, 2020.
E. R. Hunt and Hauert, S., “A checklist for safe robot swarms”, Nature Machine Intelligence, vol. 2, pp. 420-422, 2020.
E. R. Hunt, “What Could Models of Superorganismal Cognition Offer to Embodied AI?”, IOP Conference Series: Materials Science and Engineering, vol. 1261, p. 012023, 2022.
M. Hudoba de Badyn, Chapman, A., and Mesbahi, M., “Network Entropy: A System-Theoretic Perspective”, in Conference on Decision and Control, 2015.
W. Honig, Kumar, T. K. Satish, Cohen, L., Ma, H., Xu, H., Ayanian, N., and Koenig, S., “Summary: Multi-Agent Path Finding with Kinematic Constraints”, in Twenty-Sixth International Joint Conference on Artificial IntelligenceProceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, Melbourne, AustraliaCalifornia, 2017.
W. Honig, Preiss, J. A., Kumar, T. K. Satish, Sukhatme, G. S., and Ayanian, N., “Trajectory Planning for Quadrotor Swarms”, IEEE Transactions on Robotics, vol. 34, no. 4, pp. 856 - 869, 2018.
W. Hönig, Kumar, T. K. Satish, Cohen, L., Ma, H., Xu, H., Ayanian, N., and Koenig, S., “Multi-Agent Path Finding with Kinematic Constraints”, in International Conference on Automated Planning and Scheduling, London, UK, 2016.
W. Honig, Kiesel, S., Tinka, A., Durham, J. W., and Ayanian, N., “Persistent and Robust Execution of MAPF Schedules in Warehouses”, IEEE Robotics and Automation Letters, vol. 4, no. 2, pp. 1125 - 1131, 2019.
W. Honig, Milanes, C., Scaria, L., Phan, T., Bolas, M., and Ayanian, N., “Mixed reality for robotics”, in 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 2015.
W. Honig, Kumar, T. K. Satish, Ma, H., Koenig, S., and Ayanian, N., “Formation change for robot groups in occluded environments”, in 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, South Korea, 2016.
W. Hoenig, Milanes, C., Scaria, L., Phan, T., Bolas, M., and Ayanian, N., “Mixed Reality for Robotics”, in IEEE/RSJ Intl Conf. Intelligent Robots and Systems, Hamburg, Germany, 2015.
K. Hausman, Mueller, J., Hariharan, A., Ayanian, N., and Sukhatme, G., “Cooperative Control for Target Tracking with Onboard Sensing”, International Journal of Robotics Research, vol. 34, pp. 1660-1677, 2015.
K. Hausman, Mueller, J., Hariharan, A., Ayanian, N., and Sukhatme, G., “Cooperative Control for Target Tracking with Onboard Sensing”, in International Symposium of Robotics Research, Morocco, 2014.
A. Hashemi, Milutinović, D., and Casbeer, D. W., “Scalable value approximation for multiple target tail-chase with collision avoidance”, in 2016 IEEE 55th Conference on Decision and Control (CDC), 2016.
J. Hansen, Manjanna, S., Quattrini Li, A., Rekleitis, I., and Dudek, G., “Autonomous Marine Sampling Enhanced by Strategically Deployed Drifters in Marine Flow Fields”, in OCEANS 2018 MTS/IEEE Charleston, Charleston, SC, 2018.