| The are robot fabricator: How to (re) produce robots that can evolve in the real world MF Hale, E Buchanan, AF Winfield, J Timmis, E Hart, AE Eiben, M Angus, ... Artificial Life Conference Proceedings, 95-102, 2019 | 46 | 2019 |
| Sample and time efficient policy learning with cma-es and bayesian optimisation LK Le Goff, E Buchanan, E Hart, AE Eiben, W Li, M De Carlo, MF Hale, ... Artificial Life Conference Proceedings 32, 432-440, 2020 | 23 | 2020 |
| Hardware design for autonomous robot evolution MF Hale, M Angus, E Buchanan, W Li, R Woolley, LK Le Goff, M De Carlo, ... 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2140-2147, 2020 | 22 | 2020 |
| Bootstrapping artificial evolution to design robots for autonomous fabrication E Buchanan, LK Le Goff, W Li, E Hart, AE Eiben, M De Carlo, AF Winfield, ... Robotics 9 (4), 106, 2020 | 21 | 2020 |
| Dynamic task partitioning for foraging robot swarms E Buchanan, A Pomfret, J Timmis Swarm Intelligence: 10th International Conference, ANTS 2016, Brussels …, 2016 | 19 | 2016 |
| Morpho-evolution with learning using a controller archive as an inheritance mechanism LK Le Goff, E Buchanan, E Hart, AE Eiben, W Li, M De Carlo, AF Winfield, ... IEEE Transactions on Cognitive and Developmental Systems, 2022 | 15 | 2022 |
| Evolution of diverse, manufacturable robot body plans E Buchanan, LK Le Goff, E Hart, AE Eiben, M De Carlo, W Li, MF Hale, ... 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2132-2139, 2020 | 6 | 2020 |
| A study of error diversity in robotic swarms for task partitioning in foraging tasks E Buchanan, K Alden, A Pomfret, J Timmis, AM Tyrrell Frontiers in Robotics and AI 9, 904341, 2023 | 3 | 2023 |
| Evaluation of frameworks that combine evolution and learning to design robots in complex morphological spaces W Li, E Buchanan, LK Le Goff, E Hart, MF Hale, M De Carlo, R Wooley, ... IEEE Transactions on Evolutionary Computation, 2023 | 2 | 2023 |
| Practical hardware for evolvable robots M Angus, E Buchanan, LK Le Goff, E Hart, AE Eiben, M De Carlo, ... Frontiers in Robotics and AI 10, 2023 | 2 | 2023 |
| Comparing encodings for performance and phenotypic exploration in evolving modular robots F Veenstra, E Hart, E Buchanan, W Li, M De Carlo, AE Eiben Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 2 | 2019 |
| An Investigation of the Factors Influencing Evolutionary Dynamics in the Joint Evolution of Robot Body and Control LKL Goff, E Buchanan, E Hart arXiv preprint arXiv:2403.10303, 2024 | | 2024 |
| Understanding fitness landscapes in morpho-evolution via local optima networks SL Thomson, LKL Goff, E Hart, E Buchanan arXiv preprint arXiv:2402.07822, 2024 | | 2024 |
| Theory of Evolutionary Systems Engineering S Hickinbotham, R Dubey, E Buchanan, I Friel, A Colligan, M Price, ... 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 1084-1089, 2023 | | 2023 |
| Investigation of starting conditions in generative processes for the design of engineering structures E Buchanan, R Dubey, S Hickinbotham, I Friel, A Colligan, M Price, ... 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 1078-1083, 2023 | | 2023 |
| Task partitioning for foraging robot swarms based on penalty and reward E Buchanan Berumen University of York, 2018 | | 2018 |
