| Evolution of plastic learning in spiking networks via memristive connections G Howard, E Gale, L Bull, B de Lacy Costello, A Adamatzky IEEE Transactions on Evolutionary Computation 16 (5), 711-729, 2012 | 73 | 2012 |
| Evolving embodied intelligence from materials to machines D Howard, AE Eiben, DF Kennedy, JB Mouret, P Valencia, D Winkler Nature Machine Intelligence 1 (1), 12, 2019 | 44 | 2019 |
| Organic memristor devices for logic elements with memory V Erokhin, GD Howard, A Adamatzky International Journal of Bifurcation and Chaos 22 (11), 1250283, 2012 | 36 | 2012 |
| Evolving spiking networks with variable resistive memories G Howard, L Bull, B de Lacy Costello, E Gale, A Adamatzky Evolutionary computation 22 (1), 79-103, 2014 | 24 | 2014 |
| Direct 3D printing of highly anisotropic, flexible, constriction-resistive sensors for multidirectional proprioception in soft robots S Mousavi, D Howard, F Zhang, J Leng, CH Wang ACS applied materials & interfaces 12 (13), 15631-15643, 2020 | 22 | 2020 |
| Towards continuous actions in continuous space and time using self-adaptive constructivism in neural XCSF GD Howard, L Bull, PL Lanzi Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009 | 19 | 2009 |
| Towards evolving spiking networks with memristive synapses G Howard, E Gale, L Bull, B de Lacy Costello, A Adamatzky 2011 IEEE Symposium on Artificial Life (ALIFE), 14-21, 2011 | 17 | 2011 |
| Self-adaptive constructivism in neural xcs and xcsf GD Howard, L Bull, PL Lanzi Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008 | 16 | 2008 |
| Quantifying the reality gap in robotic manipulation tasks J Collins, D Howard, J Leitner 2019 International Conference on Robotics and Automation (ICRA), 6706-6712, 2019 | 14 | 2019 |
| Towards the targeted environment-specific evolution of robot components J Collins, W Geles, D Howard, F Maire Proceedings of the Genetic and Evolutionary Computation Conference, 61-68, 2018 | 14 | 2018 |
| A testbed that evolves hexapod controllers in hardware H Heijnen, D Howard, N Kottege 2017 IEEE International Conference on Robotics and Automation (ICRA), 1065-1071, 2017 | 13 | 2017 |
| Evolving Spiking Networks for Turbulence-Tolerant Quadrotor Control D Howard, A Elfes ALIFE 14: The Fourteenth Conference on the Synthesis and Simulation of …, 2014 | 13 | 2014 |
| A spiking neural representation for XCSF G Howard, L Bull, PL Lanzi IEEE Congress on Evolutionary Computation, 1-8, 2010 | 13 | 2010 |
| A platform for the direct hardware evolution of quadcopter controllers D Howard, T Merz 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 11 | 2015 |
| A SPICE model of the PEO-PANI memristor GD Howard, L Bull, B de Lacy Costello, A Adamatzky, V Erokhin International Journal of Bifurcation and Chaos 23 (06), 1350112, 2013 | 10 | 2013 |
| An ultrasensitive 3D printed tactile sensor for soft robotics S Mousavi, D Howard, S Wu, C Wang arXiv preprint arXiv:1810.09236, 2018 | 9 | 2018 |
| A platform that directly evolves multirotor controllers D Howard IEEE Transactions on Evolutionary Computation 21 (6), 943-955, 2017 | 8 | 2017 |
| Differential evolution and bayesian optimisation for hyper-parameter selection in mixed-signal neuromorphic circuits applied to UAV obstacle avoidance L Salt, D Howard, G Indiveri, Y Sandamirskaya arXiv preprint arXiv:1704.04853, 2017 | 8* | 2017 |
| Benchmarking simulated robotic manipulation through a real world dataset J Collins, J McVicar, D Wedlock, R Brown, D Howard, J Leitner IEEE Robotics and Automation Letters 5 (1), 250-257, 2019 | 7 | 2019 |
| Parameter optimization and learning in a spiking neural network for UAV obstacle avoidance targeting neuromorphic processors L Salt, D Howard, G Indiveri, Y Sandamirskaya IEEE transactions on neural networks and learning systems 31 (9), 3305-3318, 2019 | 7 | 2019 |
Larry BullUniversity of the West of EnglandVerified email at uwe.ac.uk
