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ORCIDGerard David Howard
David Howard 0001
Person information
- affiliation: CSIRO, Robotics and Autonomous Systems Group, Pullenvale, Australia
Other persons with the same name
- David Howard — disambiguation page
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2020 – today
- 2025
[j31]Nicole L. Robinson, Jason Williams, David Howard, Brendan Tidd, Fletcher Talbot, Brett Wood, Alex Pitt, Navinda Kottege, Dana Kulic:
Human-Robot Team Performance Compared to Full Robot Autonomy in 16 Real-World Search and Rescue Missions: Adaptation of the DARPA Subterranean Challenge. ACM Trans. Hum. Robot Interact. 14(1): 8:1-8:30 (2025)- 2024
- [j30]Rhys Newbury
, Jack Collins, Kerry He, Jiahe Pan, Ingmar Posner, David Howard, Akansel Cosgun:
A Review of Differentiable Simulators. IEEE Access 12: 97581-97604 (2024) - [j29]Joshua Pinskier, Xing Wang, Lois Liow, Yue Xie, Prabhat Kumar, Matthijs Langelaar, David Howard:
Diversity-Based Topology Optimization of Soft Robotic Grippers. Adv. Intell. Syst. 6(4) (2024) - [j28]Yue Xie, Joshua Pinskier, Xing Wang, David Howard:
Evolutionary Seeding of Diverse Structural Design Solutions via Topology Optimization. ACM Trans. Evol. Learn. Optim. 4(4): 20:1-20:23 (2024) - [j27]Lois Liow, James Brett, Joshua Pinskier, Lauren Hanson, Louis Tidswell, Navinda Kottege, David Howard:
A Compliant Robotic Leg Based on Fibre Jamming. IEEE Trans. Robotics 40: 4578-4597 (2024) - [c51]Geoff Nitschke, David Howard, Bilal Aslan:
Automating Robot Design with Multi-Level Evolution. CEC 2024: 1-8 - [c50]Jordan T. Bishop, Jason Jooste, David Howard:
Evolutionary Exploration of Triply Periodic Minimal Surfaces via Quality Diversity. GECCO 2024 - [c49]Seth G. Fitzgerald, Sarah Baldwin, Gary W. Delaney, David Howard, Frédéric Maire:
Evolution of Material Properties and Gripping Strategy in Soft Robotic Jamming Devices. GECCO Companion 2024: 659-662 - [c48]Cameron Coombe, David Howard, Will N. Browne:
Learning Classifier Systems as a Solver for the Abstraction and Reasoning Corpus. GECCO Companion 2024: 1770-1778 - [c47]Duy Le, Linh Nguyen, Truong Phung, David Howard, Gayan Kahandawa, M. Manzur Murshed, Gary W. Delaney:
Machine Learning Accelerated Prediction of 3D Granular Flows in Hoppers. ICANN (9) 2024: 325-339 - [c46]Xing Wang, Joel Janek Dabrowski, Joshua Pinskier, Lois Liow, Vinoth Viswanathan, Richard Scalzo, David Howard:
PINN-Ray: A Physics-Informed Neural Network to Model Soft Robotic Fin Ray Fingers. IROS 2024: 247-254 - [c45]Yue Xie, Joshua Pinskier, Lois Liow, David Howard, Fumiya Iida:
A 'MAP' to find high-performing soft robot designs: Traversing complex design spaces using MAP-elites and Topology Optimization. IROS 2024: 11408-11415 - [c44]Joshua Pinskier, James Brett, David Howard:
Towards Bespoke Soft Grippers through Voxel-Scale Metamaterial Topology Optimisation. RoboSoft 2024: 291-298 - [c43]Yue Xie, Xing Wang, Fumiya Iida, David Howard:
Fin-QD: A Computational Design Framework for Soft Grippers: Integrating MAP-Elites and High-fidelity FEM. RoboSoft 2024: 692-697 - [c42]Ryo Kanno, Pham H. Nguyen, Joshua Pinskier, David Howard, Sukho Song, Mirko Kovac:
Hybrid Soft Electrostatic Metamaterial Gripper for Multi-surface, Multi-object Adaptation. RoboSoft 2024: 851-857 - [i38]Callum Bennie, Bridget Casey, Cécile Paris, Dana Kulic, Brendan Tidd, Nicholas Lawrance, Alex Pitt, Fletcher Talbot, Jason Williams, David Howard, Pavan Sikka, Hashini Senaratne:
Alternative Interfaces for Human-initiated Natural Language Communication and Robot-initiated Haptic Feedback: Towards Better Situational Awareness in Human-Robot Collaboration. CoRR abs/2401.13903 (2024) - [i37]Ryo Kanno, Pham H. Nguyen, Joshua Pinskier, David Howard, Sukho Song, Mirko Kovac:
Hybrid Soft Electrostatic Metamaterial Gripper for Multi-surface, Multi-object Adaptation. CoRR abs/2403.06327 (2024) - [i36]Rhys Newbury, Jack Collins, Kerry He, Jiahe Pan, Ingmar Posner, David Howard, Akansel Cosgun:
A Review of Differentiable Simulators. CoRR abs/2407.05560 (2024) - [i35]Yue Xie, Joshua Pinskier, Lois Liow, David Howard, Fumiya Iida:
A 'MAP' to find high-performing soft robot designs: Traversing complex design spaces using MAP-elites and Topology Optimization. CoRR abs/2407.07591 (2024) - [i34]Xing Wang, Joel Janek Dabrowski, Joshua Pinskier, Lois Liow, Vinoth Viswanathan, Richard Scalzo, David Howard:
PINN-Ray: A Physics-Informed Neural Network to Model Soft Robotic Fin Ray Fingers. CoRR abs/2407.08222 (2024) - [i33]Xing Wang, Liam Horrigan, Joshua Pinskier, Ge Shi, Vinoth Viswanathan, Lois Liow, Tirthankar Bandyopadhyay, Jen Jen Chung, David Howard:
DexGrip: Multi-modal Soft Gripper with Dexterous Grasping and In-hand Manipulation Capacity. CoRR abs/2411.17124 (2024) - [i32]Benjamin G. Greenland, Joshua Pinskier, Xing Wang, Daniel Nguyen, Ge Shi, Tirthankar Bandyopadhyay, Jen Jen Chung, David Howard:
SoGraB: A Visual Method for Soft Grasping Benchmarking and Evaluation. CoRR abs/2411.19408 (2024) - 2023
- [j26]David M. Douglas, Justine Lacey, David Howard:
Ethical risks of AI-designed products: bespoke surgical tools as a case study. AI Ethics 3(4): 1117-1133 (2023) - [c41]Stine S. Johansen, Hashini Senaratne, Alan Burden, Melanie J. McGrath, Claire M. Mason, Glenda Amayo Caldwell, Jared Donovan, Andreas Duenser, Matthias Guertler, David Howard, Yanrang Jiang, Cécile Paris, Markus Rittenbruch, Jonathan Roberts:
Empowering People in Human-Robot Collaboration: Why, How, When, and for Whom. OZCHI 2023: 684-688 - [c40]Hashini Senaratne, Alex Pitt, Fletcher Talbot, Peyman Moghadam, Pavan Sikka, David Howard, Jason Williams, Dana Kulic, Cécile Paris:
Measuring Situational Awareness Latency in Human-Robot Teaming Experiments. RO-MAN 2023: 2624-2631 - [c39]Cameron Coombe, James Brett, Raghav Mishra, Gary W. Delaney, David Howard:
Active Vibration Fluidization for Granular Jamming Grippers. RoboSoft 2023: 1-8 - [c38]David Howard, Jack O'Connor, Jordan Letchford, Therese Joseph, Sophia Lin, Sarah Baldwin, Gary W. Delaney:
A Comprehensive Dataset of Grains for Granular Jamming in Soft Robotics: Grip Strength and Shock Absorption. RoboSoft 2023: 1-8 - [c37]Therese Joseph, Sarah Baldwin, Lillian Guan, James Brett, David Howard:
The Jamming Donut: A Free-Space Gripper Based on Granular Jamming. RoboSoft 2023: 1-6 - [c36]Joshua Pinskier, Prabhat Kumar, Matthijs Langelaar, David Howard:
Automated design of pneumatic soft grippers through design-dependent multi-material topology optimization. RoboSoft 2023: 1-7 - [i31]Lois Liow, James Brett, Joshua Pinskier, Lauren Hanson, Louis Tidswell, Navinda Kottege, David Howard:
A Compliant Robotic Leg Based on Fibre Jamming. CoRR abs/2308.01758 (2023) - [i30]Prabhat Kumar, Joshua Pinskier, David Howard, Matthijs Langelaar:
Topology optimization of fluidic pressure-driven multi-material compliant mechanisms. CoRR abs/2310.10355 (2023) - [i29]Yue Xie, Xing Wang, Fumiya Iida, David Howard:
Fin-QD: A Computational Design Framework for Soft Grippers: Integrating MAP-Elites and High-fidelity FEM. CoRR abs/2311.12477 (2023) - 2022
- [j25]Matheus S. Xavier, Charbel Tawk, Ali Zolfagharian, Joshua Pinskier, David Howard, Taylor R. Young, Jiewen Lai, Simon M. Harrison, Yuen Kuan Yong, Mahdi Bodaghi, Andrew J. Fleming:
Soft Pneumatic Actuators: A Review of Design, Fabrication, Modeling, Sensing, Control and Applications. IEEE Access 10: 59442-59485 (2022) - [j24]Joshua Pinskier, David Howard:
From Bioinspiration to Computer Generation: Developments in Autonomous Soft Robot Design. Adv. Intell. Syst. 4(1) (2022) - [j23]David M. Douglas, Justine Lacey, David Howard:
Ethical responsibility and computational design: bespoke surgical tools as an instructive case study. Ethics Inf. Technol. 24(1): 11 (2022) - [j22]David Howard, Kyrre Glette, Nick Cheney:
Editorial: Evolving Robotic Morphologies. Frontiers Robotics AI 9: 874853 (2022) - [j21]Geoff Nitschke, David Howard:
AutoFac: The Perpetual Robot Machine. IEEE Trans. Artif. Intell. 3(1): 2-10 (2022) - [j20]Gabriel Günter Waibel, Tobias Löw, Mathieu Nass, David Howard, Tirthankar Bandyopadhyay, Paulo Vinicius Koerich Borges:
How Rough Is the Path? Terrain Traversability Estimation for Local and Global Path Planning. IEEE Trans. Intell. Transp. Syst. 23(9): 16462-16473 (2022) - [j19]Andrew Razjigaev, Ajay K. Pandey, David Howard, Jonathan Roberts, Liao Wu:
End-to-End Design of Bespoke, Dexterous Snake-Like Surgical Robots: A Case Study With the RAVEN II. IEEE Trans. Robotics 38(5): 2827-2840 (2022) - [c35]Zonghao Huang, Quinn Wu, David Howard, Cynthia R. Sung:
EvoRobogami: co-designing with humans in evolutionary robotics experiments. GECCO 2022: 168-176 - [c34]David Howard, Humphrey Munn, Davide Dolcetti, Josh Kannemeyer, Nicole L. Robinson:
Assessing evolutionary terrain generation methods for curriculum reinforcement learning. GECCO 2022: 377-384 - [c33]Seth G. Fitzgerald, Gary W. Delaney, David Howard, Frédéric Maire:
Evolving polydisperse soft robotic jamming grippers. GECCO Companion 2022: 707-710 - [c32]Joshua Pinskier, James Brett, Lauren Hanson, Katrina Lo Surdo, David Howard:
Jammkle: Fibre jamming 3D printed multi-material tendons and their application in a robotic ankle. IROS 2022: 8507-8514 - [c31]Stine S. Johansen, Hashini Senaratne, Alan Burden, David Howard, Glenda Amayo Caldwell, Jared Donovan, Andreas Duenser, Matthias Guertler, Melanie J. McGrath, Cécile Paris, Markus Rittenbruch, Jonathan Roberts:
Empowering People in Human-Robot Collaboration: Bringing Together and Synthesising Perspectives. OZCHI 2022: 352-355 - [c30]David Howard, Jack O'Connor, Jordan Letchford, James Brett, Therese Joseph, Sophia Lin, Daniel Furby, Gary W. Delaney:
Getting a Grip: in Materio Evolution of Membrane Morphology for Soft Robotic Jamming Grippers. RoboSoft 2022: 531-538 - [i28]David Howard, Josh Kannemeyer, Davide Dolcetti, Humphrey Munn, Nicole L. Robinson:
Assessing Evolutionary Terrain Generation Methods for Curriculum Reinforcement Learning. CoRR abs/2203.15172 (2022) - [i27]Zonghao Huang, Quinn Wu, David Howard, Cynthia Sung:
EvoRobogami: Co-designing with Humans in Evolutionary Robotics Experiments. CoRR abs/2205.08086 (2022) - [i26]Joshua Pinskier, Prabhat Kumar, David Howard, Matthijs Langelaar:
Automated design of pneumatic soft grippers through design-dependent multi-material topology optimization. CoRR abs/2211.13843 (2022) - [i25]Nicole L. Robinson, Jason Williams, David Howard, Brendan Tidd, Fletcher Talbot, Brett Wood, Alex Pitt, Navinda Kottege, Dana Kulic:
Human-Robot Team Performance Compared to Full Robot Autonomy in 16 Real-World Search and Rescue Missions: Adaptation of the DARPA Subterranean Challenge. CoRR abs/2212.05626 (2022) - 2021
- [j18]Jack Collins, Shelvin Chand, Anthony Vanderkop, David Howard:
A Review of Physics Simulators for Robotic Applications. IEEE Access 9: 51416-51431 (2021) - [j17]David M. Douglas, David Howard, Justine Lacey:
Moral responsibility for computationally designed products. AI Ethics 1(3): 273-281 (2021) - [j16]Tønnes F. Nygaard, Charles P. Martin, David Howard, Jim Tørresen, Kyrre Glette:
Environmental Adaptation of Robot Morphology and Control Through Real-World Evolution. Evol. Comput. 29(4): 441-461 (2021) - [j15]Shelvin Chand, David Howard:
Multi-Level Evolution for Robotic Design. Frontiers Robotics AI 8: 684304 (2021) - [j14]Felipe G. Oliveira, Armando Alves Neto, David Howard, Paulo V. K. Borges, Mario F. M. Campos, Douglas G. Macharet:
Three-Dimensional Mapping with Augmented Navigation Cost through Deep Learning. J. Intell. Robotic Syst. 101(3): 50 (2021) - [j13]Tønnes F. Nygaard, Charles P. Martin, Jim Tørresen, Kyrre Glette, David Howard:
Real-world embodied AI through a morphologically adaptive quadruped robot. Nat. Mach. Intell. 3(5): 410-419 (2021) - [j12]Ahmadreza Ahmadi, Tønnes F. Nygaard, Navinda Kottege, David Howard, Nicolas Hudson:
Semi-Supervised Gated Recurrent Neural Networks for Robotic Terrain Classification. IEEE Robotics Autom. Lett. 6(2): 1848-1855 (2021) - [c29]Seth G. Fitzgerald, Gary W. Delaney, David Howard, Frédéric Maire:
Evolving soft robotic jamming grippers. GECCO 2021: 102-110 - [c28]Marin Dimitrov, Keir Groves, David Howard, Barry Lennox:
Model Identification of a Small Fully-Actuated Aquatic Surface Vehicle Using a Long Short-Term Memory Neural Network. ICRA 2021: 5966-5972 - [c27]Andrew Razjigaev, Ajay K. Pandey, David Howard, Jonathan Roberts, Liao Wu:
SnakeRaven: Teleoperation of a 3D Printed Snake-like Manipulator Integrated to the RAVEN II Surgical Robot. IROS 2021: 5282-5288 - [c26]David Howard, Jack O'Connor, James Brett, Gary W. Delaney:
Shape, Size, and Fabrication Effects in 3D Printed Granular Jamming Grippers. RoboSoft 2021: 458-464 - [i24]Jack Collins, Ross Brown, Jürgen Leitner, David Howard:
Follow the Gradient: Crossing the Reality Gap using Differentiable Physics (RealityGrad). CoRR abs/2109.04674 (2021) - [i23]James Brett, Katrina Lo Surdo, Lauren Hanson, Joshua Pinskier, David Howard:
Jammkle: Fibre jamming 3D printed multi-material tendons and their application in a robotic ankle. CoRR abs/2109.04681 (2021) - 2020
- [j11]Jack Collins, Jessie McVicar, David Wedlock, Ross Brown, David Howard, Jürgen Leitner:
Benchmarking Simulated Robotic Manipulation Through a Real World Dataset. IEEE Robotics Autom. Lett. 5(1): 250-257 (2020) - [j10]Llewyn Salt, David Howard, Giacomo Indiveri, Yulia Sandamirskaya:
Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance Targeting Neuromorphic Processors. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3305-3318 (2020) - [c25]Gerard David Howard, Thomas Lowe, Wade Geles:
Diversity-based design assist for large legged robots. GECCO Companion 2020: 81-82 - [c24]Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti:
Towards crossing the reality gap with evolved plastic neurocontrollers. GECCO 2020: 130-138 - [c23]Gary W. Delaney, Gerard David Howard:
Multi-objective exploration of a granular matter design space. GECCO Companion 2020: 263-264 - [c22]Shelvin Chand, David Howard:
Path towards multilevel evolution of robots. GECCO Companion 2020: 1381-1382 - [c21]Tønnes F. Nygaard, David Howard, Kyrre Glette:
Real world morphological evolution is feasible. GECCO Companion 2020: 1392-1394 - [c20]Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti:
Evolving Spiking Neurocontrollers for UAVs. SSCI 2020: 1928-1935 - [i22]Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti:
Crossing the Reality Gap with Evolved Plastic Neurocontrollers. CoRR abs/2002.09854 (2020) - [i21]Jack Collins, Ross Brown, Jürgen Leitner, David Howard:
Traversing the Reality Gap via Simulator Tuning. CoRR abs/2003.01369 (2020) - [i20]Tønnes F. Nygaard, Charles P. Martin, David Howard, Jim Tørresen, Kyrre Glette:
Environmental Adaptation of Robot Morphology and Control through Real-world Evolution. CoRR abs/2003.13254 (2020) - [i19]David Howard, Thomas Lowe, Wade Geles:
Diversity-based Design Assist for Large Legged Robots. CoRR abs/2004.08057 (2020) - [i18]Tønnes F. Nygaard, David Howard, Kyrre Glette:
Real World Morphological Evolution is Feasible. CoRR abs/2005.09288 (2020) - [i17]Shelvin Chand, David Howard:
Path Towards Multilevel Evolution of Robots. CoRR abs/2006.03266 (2020) - [i16]Ahmadreza Ahmadi, Tønnes F. Nygaard, Navinda Kottege, David Howard, Nicolas Hudson:
Semi-supervised Gated Recurrent Neural Networks for Robotic Terrain Classification. CoRR abs/2011.11913 (2020)
2010 – 2019
- 2019
- [j9]Gerard David Howard, Alberto Elfes:
A staged approach to evolving real-world UAV controllers. Evol. Intell. 12(3): 491-502 (2019) - [j8]David Howard, Ágoston E. Eiben, Danielle Frances Kennedy, Jean-Baptiste Mouret, Philip Valencia, David A. Winkler:
Evolving embodied intelligence from materials to machines. Nat. Mach. Intell. 1(1): 12-19 (2019) - [c19]Jack Collins, Ben Cottier, David Howard:
Comparing Direct and Indirect Representations for Environment-Specific Robot Component Design. CEC 2019: 2705-2712 - [c18]Gary W. Delaney, David Howard, Krystal De Napoli:
Utilising Evolutionary Algorithms to Design Granular Materials for Industrial Applications. ICMLA 2019: 1897-1902 - [c17]Jack Collins, David Howard, Jürgen Leitner:
Quantifying the Reality Gap in Robotic Manipulation Tasks. ICRA 2019: 6706-6712 - [p1]Gerard David Howard, Larry Bull, Ben de Lacy Costello, Ella Gale, Andrew Adamatzky:
Evolving Memristive Neural Networks. Handbook of Memristor Networks 2019: 661-690 - [i15]David Howard, Ágoston E. Eiben, Danielle Frances Kennedy, Jean-Baptiste Mouret, Philip Valencia, David A. Winkler:
Evolving embodied intelligence from materials to machines. CoRR abs/1901.05704 (2019) - [i14]Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti:
Evolving Spiking Neural Networks for Nonlinear Control Problems. CoRR abs/1903.01180 (2019) - [i13]Gerard David Howard, Alberto Elfes:
A Staged Approach to Evolving Real-world UAV Controllers. CoRR abs/1905.10762 (2019) - [i12]Llewyn Salt, David Howard, Giacomo Indiveri, Yulia Sandamirskaya:
Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance targeting Neuromorphic Processors. CoRR abs/1910.07960 (2019) - [i11]Jack Collins, Jessie McVicar, David Wedlock, Ross Brown, David Howard, Jürgen Leitner:
Benchmarking Simulated Robotic Manipulation through a Real World Dataset. CoRR abs/1911.01557 (2019) - 2018
- [c16]Jack Collins, Wade Geles, David Howard, Frédéric Maire:
Towards the targeted environment-specific evolution of robot components. GECCO 2018: 61-68 - [c15]Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti:
Evolving Spiking Neural Networks for Nonlinear Control Problems. SSCI 2018: 1367-1373 - [i10]Jack Collins, Wade Geles, David Howard, Frédéric Maire:
Towards the Targeted Environment-Specific Evolution of Robot Components. CoRR abs/1810.04735 (2018) - [i9]Jack Collins, David Howard, Jürgen Leitner:
Quantifying the Reality Gap in Robotic Manipulation Tasks. CoRR abs/1811.01484 (2018) - 2017
- [j7]David Howard:
A Platform That Directly Evolves Multirotor Controllers. IEEE Trans. Evol. Comput. 21(6): 943-955 (2017) - [c14]Gerard David Howard:
On self-adaptive rate restarts for evolutionary robotics with real rotorcraft. GECCO 2017: 123-130 - [c13]Huub Heijnen, David Howard, Navinda Kottege:
A testbed that evolves hexapod controllers in hardware. ICRA 2017: 1065-1071 - [i8]Gerard David Howard:
On Self-Adaptive Mutation Restarts for Evolutionary Robotics with Real Rotorcraft. CoRR abs/1703.10754 (2017) - [i7]Llewyn Salt, David Howard, Giacomo Indiveri, Yulia Sandamirskaya:
Differential Evolution and Bayesian Optimisation for Hyper-Parameter Selection in Mixed-Signal Neuromorphic Circuits Applied to UAV Obstacle Avoidance. CoRR abs/1704.04853 (2017) - 2016
- [j6]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers. Neural Process. Lett. 44(1): 125-147 (2016) - [c12]David Howard, Farid Kendoul:
Towards Evolved Time to Contact Neurocontrollers for Quadcopters. ACALCI 2016: 336-347 - 2015
- [j5]Gerard David Howard, Larry Bull, Ben de Lacy Costello:
Evolving unipolar memristor spiking neural networks. Connect. Sci. 27(4): 397-416 (2015) - [c11]Gerard David Howard, Larry Bull, Ben de Lacy Costello:
Evolving Unipolar Memristor Spiking Neural Networks. ACALCI 2015: 258-272 - [c10]David Howard, Torsten Merz:
A platform for the direct hardware evolution of quadcopter controllers. IROS 2015: 4614-4619 - [i6]Gerard David Howard, Larry Bull, Ben de Lacy Costello, Andrew Adamatzky, Ella Gale:
Evolving Spiking Networks with Variable Resistive Memories. CoRR abs/1505.04357 (2015) - [i5]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers. CoRR abs/1508.07700 (2015) - [i4]Gerard David Howard, Larry Bull, Ben de Lacy Costello:
Evolving Unipolar Memristor Spiking Neural Networks. CoRR abs/1509.00105 (2015) - 2014
- [j4]Gerard David Howard, Larry Bull, Ben de Lacy Costello, Ella Gale, Andrew Adamatzky:
Evolving Spiking Networks with Variable Resistive Memories. Evol. Comput. 22(1): 79-103 (2014) - [c9]Gerard David Howard, Alberto Elfes:
Evolving Spiking Networks for Turbulence-Tolerant Quadrotor Control. ALIFE 2014: 431-438 - 2013
- [j3]Gerard David Howard, Larry Bull, Ben de Lacy Costello, Andrew Adamatzky, Victor Erokhin:
A SPICE Model of the PEO-Pani memristor. Int. J. Bifurc. Chaos 23(6) (2013) - 2012
- [j2]Victor Erokhin, Gerard David Howard, Andrew Adamatzky:
Organic memristor Devices for Logic Elements with Memory. Int. J. Bifurc. Chaos 22(11) (2012) - [j1]Gerard David Howard, Ella Gale, Larry Bull, Ben de Lacy Costello, Andy Adamatzky:
Evolution of Plastic Learning in Spiking Networks via Memristive Connections. IEEE Trans. Evol. Comput. 16(5): 711-729 (2012) - [c8]Gerard David Howard, Larry Bull, Andrew Adamatzky:
Cartesian Genetic Programming for Memristive Logic Circuits. EuroGP 2012: 37-48 - [i3]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
A Spiking Neural Learning Classifier System. CoRR abs/1201.3249 (2012) - [i2]Victor Erokhin, Gerard David Howard, Andrew Adamatzky:
Organic Memristor Devices for Logic Elements with Memory. CoRR abs/1212.3425 (2012) - [i1]Gerard David Howard, Ella Gale, Larry Bull, Ben de Lacy Costello, Andy Adamatzky:
Evolution of Plastic Learning in Spiking Networks via Memristive Connections. CoRR abs/1212.3441 (2012) - 2011
- [b1]Gerard David Howard:
Constructivist and spiking neural learning classifier systems. University of the West of England, Bristol, UK, 2011 - [c7]Gerard David Howard, Ella Gale, Larry Bull, Benjamin de Lacy Costello, Andrew Adamatzky:
Evolving spiking networks with variable memristors. GECCO 2011: 1275-1282 - [c6]Gerard David Howard, Ella Gale, Larry Bull, Benjamin de Lacy Costello, Andy Adamatzky:
Towards evolving spiking networks with memristive synapses. ALIFE 2011: 14-21 - 2010
- [c5]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
A spiking neural representation for XCSF. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2009
- [c4]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
Towards continuous actions in continuous space and time using self-adaptive constructivism in neural XCSF. GECCO 2009: 1219-1226 - [c3]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
Use of a Connection-Selection Scheme in Neural XCSF. IWLCS 2009: 87-106 - 2008
- [c2]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
Self-adaptive constructivism in Neural XCS and XCSF. GECCO 2008: 1389-1396 - [c1]Gerard David Howard, Larry Bull:
On the effects of node duplication and connection-oriented constructivism in neural XCSF. GECCO (Companion) 2008: 1977-1984
Coauthor Index
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