David Howard
David Howard
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Cited by
Cited by
A review of physics simulators for robotic applications
J Collins, S Chand, A Vanderkop, D Howard
IEEE Access 9, 51416-51431, 2021
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
Soft pneumatic actuators: A review of design, fabrication, modeling, sensing, control and applications
MS Xavier, CD Tawk, A Zolfagharian, J Pinskier, D Howard, T Young, ...
IEEE Access 10, 59442-59485, 2022
A review of jamming actuation in soft robotics
SG Fitzgerald, GW Delaney, D Howard
Actuators 9 (4), 104, 2020
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
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
From bioinspiration to computer generation: Developments in autonomous soft robot design
J Pinskier, D Howard
Advanced Intelligent Systems 4 (1), 2100086, 2022
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
Real-world embodied AI through a morphologically adaptive quadruped robot
TF Nygaard, CP Martin, J Torresen, K Glette, D Howard
Nature Machine Intelligence 3 (5), 410-419, 2021
Organic memristor devices for logic elements with memory
V Erokhin, GD Howard, A Adamatzky
International Journal of Bifurcation and Chaos 22 (11), 1250283, 2012
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
One-shot 3D-printed multimaterial soft robotic jamming grippers
GD Howard, J Brett, J O'Connor, J Letchford, GW Delaney
Soft Robotics 9 (3), 497-508, 2022
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
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
Shape, size, and fabrication effects in 3D printed granular jamming grippers
D Howard, J O’Connor, J Brett, GW Delaney
2021 IEEE 4th International Conference on Soft Robotics (RoboSoft), 458-464, 2021
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
How rough is the path? terrain traversability estimation for local and global path planning
GG Waibel, T Löw, M Nass, D Howard, T Bandyopadhyay, PVK Borges
IEEE Transactions on Intelligent Transportation Systems 23 (9), 16462-16473, 2022
Environmental adaptation of robot morphology and control through real-world evolution
TF Nygaard, CP Martin, D Howard, J Torresen, K Glette
Evolutionary Computation 29 (4), 441-461, 2021
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
Traversing the reality gap via simulator tuning
J Collins, R Brown, J Leitner, D Howard
arXiv preprint arXiv:2003.01369, 2020
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