On the effects of node duplication and connection-oriented constructivism in neural XCSF. - Gerard David Howard; Larry Bull (GECCO (Companion), 2008)

Self-adaptive constructivism in Neural XCS and XCSF. - Gerard David Howard; Larry Bull; Pier Luca Lanzi (GECCO, 2008)

Towards continuous actions in continuous space and time using self-adaptive constructivism in neural XCSF. - Gerard David Howard; Larry Bull; Pier Luca Lanzi (GECCO, 2009)

Use of a Connection-Selection Scheme in Neural XCSF. - Gerard David Howard; Larry Bull; Pier Luca Lanzi (IWLCS, 2009)

A spiking neural representation for XCSF. - Gerard David Howard; Larry Bull; Pier Luca Lanzi (IEEE Congress on Evolutionary Computation, 2010)

Evolving spiking networks with variable memristors. - Gerard David Howard; Ella Gale; Larry Bull; Benjamin de Lacy Costello; Andrew Adamatzky (GECCO, 2011)

Towards evolving spiking networks with memristive synapses. - Gerard David Howard; Ella Gale; Larry Bull; Benjamin de Lacy Costello; Andy Adamatzky (ALIFE, 2011)

Constructivist and spiking neural learning classifier systems. - Gerard David Howard (2011)

Cartesian Genetic Programming for Memristive Logic Circuits. - Gerard David Howard; Larry Bull; Andrew Adamatzky (EuroGP, 2012)

A Spiking Neural Learning Classifier System - Gerard David Howard; Larry Bull; Pier Luca Lanzi (CoRR, 2012)

Organic memristor Devices for Logic Elements with Memory. - Victor Erokhin; Gerard David Howard; Andrew Adamatzky (Int. J. Bifurc. Chaos, 2012)

Evolution of Plastic Learning in Spiking Networks via Memristive Connections. - Gerard David Howard; Ella Gale; Larry Bull; Ben de Lacy Costello; Andy Adamatzky (IEEE Trans. Evol. Comput., 2012)

A SPICE Model of the PEO-Pani memristor. - Gerard David Howard; Larry Bull; Ben de Lacy Costello; Andrew Adamatzky; Victor Erokhin (Int. J. Bifurc. Chaos, 2013)

Evolving Spiking Networks for Turbulence-Tolerant Quadrotor Control. - Gerard David Howard; Alberto Elfes (ALIFE, 2014)

Evolving Spiking Networks with Variable Resistive Memories. - Gerard David Howard; Larry Bull; Ben de Lacy Costello; Ella Gale; Andrew Adamatzky (Evol. Comput., 2014)

A platform for the direct hardware evolution of quadcopter controllers. - David Howard 001; Torsten Merz (IROS, 2015)

Evolving unipolar memristor spiking neural networks. - Gerard David Howard; Larry Bull; Ben de Lacy Costello (Connect. Sci., 2015)

Towards Evolved Time to Contact Neurocontrollers for Quadcopters. - David Howard 001; Farid Kendoul (ACALCI, 2016)

A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers. - Gerard David Howard; Larry Bull; Pier Luca Lanzi (Neural Process. Lett., 2016)

On self-adaptive rate restarts for evolutionary robotics with real rotorcraft. - Gerard David Howard (GECCO, 2017)

A testbed that evolves hexapod controllers in hardware. - Huub Heijnen; David Howard 001; Navinda Kottege (ICRA, 2017)

On Self-Adaptive Mutation Restarts for Evolutionary Robotics with Real Rotorcraft. - Gerard David Howard (CoRR, 2017)

Differential Evolution and Bayesian Optimisation for Hyper-Parameter Selection in Mixed-Signal Neuromorphic Circuits Applied to UAV Obstacle Avoidance. - Llewyn Salt; David Howard 001; Giacomo Indiveri; Yulia Sandamirskaya (CoRR, 2017)

A Platform That Directly Evolves Multirotor Controllers. - David Howard 001 (IEEE Trans. Evol. Comput., 2017)

Towards the targeted environment-specific evolution of robot components. - Jack Collins; Wade Geles; David Howard 001; Frédéric Maire (GECCO, 2018)

Evolving Spiking Neural Networks for Nonlinear Control Problems. - Huanneng Qiu; Matthew Garratt; David Howard 001; Sreenatha G. Anavatti (SSCI, 2018)

Evolving Memristive Neural Networks. - Gerard David Howard; Larry Bull; Ben de Lacy Costello; Ella Gale; Andrew Adamatzky (Handbook of Memristor Networks, 2019)

Comparing Direct and Indirect Representations for Environment-Specific Robot Component Design. - Jack Collins; Ben Cottier; David Howard 001 (CEC, 2019)

Utilising Evolutionary Algorithms to Design Granular Materials for Industrial Applications. - Gary W. Delaney; David Howard 001; Krystal De Napoli (ICMLA, 2019)

Quantifying the Reality Gap in Robotic Manipulation Tasks. - Jack Collins; David Howard 001; Jürgen Leitner (ICRA, 2019)

A staged approach to evolving real-world UAV controllers. - Gerard David Howard; Alberto Elfes (Evol. Intell., 2019)

Evolving embodied intelligence from materials to machines. - David Howard 001; Ágoston E. Eiben; Danielle Frances Kennedy; Jean-Baptiste Mouret; Philip Valencia; David A. Winkler (Nat. Mach. Intell., 2019)

Path towards multilevel evolution of robots. - Shelvin Chand; David Howard 001 (GECCO Companion, 2020)

Multi-objective exploration of a granular matter design space. - Gary W. Delaney; Gerard David Howard (GECCO Companion, 2020)

Diversity-based design assist for large legged robots. - Gerard David Howard; Thomas Lowe; Wade Geles (GECCO Companion, 2020)

Real world morphological evolution is feasible. - Tønnes F. Nygaard; David Howard 001; Kyrre Glette (GECCO Companion, 2020)

Towards crossing the reality gap with evolved plastic neurocontrollers. - Huanneng Qiu; Matthew Garratt; David Howard 001; Sreenatha G. Anavatti (GECCO, 2020)

Evolving Spiking Neurocontrollers for UAVs. - Huanneng Qiu; Matthew Garratt; David Howard 001; Sreenatha G. Anavatti (SSCI, 2020)

Crossing the Reality Gap with Evolved Plastic Neurocontrollers. - Huanneng Qiu; Matthew Garratt; David Howard 001; Sreenatha G. Anavatti (CoRR, 2020)

Traversing the Reality Gap via Simulator Tuning. - Jack Collins; Ross Brown 001; Jürgen Leitner; David Howard 001 (CoRR, 2020)

Benchmarking Simulated Robotic Manipulation Through a Real World Dataset. - Jack Collins; Jessie McVicar; David Wedlock; Ross Brown 001; David Howard 001; Jürgen Leitner (IEEE Robotics Autom. Lett., 2020)

Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance Targeting Neuromorphic Processors. - Llewyn Salt; David Howard 001; Giacomo Indiveri; Yulia Sandamirskaya (IEEE Trans. Neural Networks Learn. Syst., 2020)

Evolving soft robotic jamming grippers. - Seth G. Fitzgerald; Gary W. Delaney; David Howard 001; Frédéric Maire (GECCO, 2021)

Model Identification of a Small Fully-Actuated Aquatic Surface Vehicle Using a Long Short-Term Memory Neural Network. - Marin Dimitrov; Keir Groves; David Howard 001; Barry Lennox (ICRA, 2021)

SnakeRaven: Teleoperation of a 3D Printed Snake-like Manipulator Integrated to the RAVEN II Surgical Robot. - Andrew Razjigaev; Ajay K. Pandey; David Howard 001; Jonathan Roberts 001; Liao Wu (IROS, 2021)

Shape, Size, and Fabrication Effects in 3D Printed Granular Jamming Grippers. - David Howard 001; Jack O'Connor; James Brett; Gary W. Delaney (RoboSoft, 2021)

A Review of Physics Simulators for Robotic Applications. - Jack Collins; Shelvin Chand; Anthony Vanderkop; David Howard 001 (IEEE Access, 2021)

Moral responsibility for computationally designed products. - David M. Douglas; David Howard 001; Justine Lacey (AI Ethics, 2021)

Follow the Gradient: Crossing the Reality Gap using Differentiable Physics (RealityGrad). - Jack Collins; Ross Brown 001; Jürgen Leitner; David Howard 001 (CoRR, 2021)

Vibration Improves Performance in Granular Jamming Grippers. - Raghav Mishra; Tyson Philips; Gary W. Delaney; David Howard 001 (CoRR, 2021)

Environmental Adaptation of Robot Morphology and Control Through Real-World Evolution. - Tønnes F. Nygaard; Charles P. Martin; David Howard 001; Jim Tørresen; Kyrre Glette (Evol. Comput., 2021)

Multi-Level Evolution for Robotic Design. - Shelvin Chand; David Howard 001 (Frontiers Robotics AI, 2021)

Three-Dimensional Mapping with Augmented Navigation Cost through Deep Learning. - Felipe G. Oliveira; Armando Alves Neto; David Howard 001; Paulo V. K. Borges; Mario F. M. Campos; Douglas G. Macharet (J. Intell. Robotic Syst., 2021)

Real-world embodied AI through a morphologically adaptive quadruped robot. - Tønnes F. Nygaard; Charles P. Martin; Jim Tørresen; Kyrre Glette; David Howard 001 (Nat. Mach. Intell., 2021)

Semi-Supervised Gated Recurrent Neural Networks for Robotic Terrain Classification. - Ahmadreza Ahmadi; Tønnes F. Nygaard; Navinda Kottege; David Howard 001; Nicolas Hudson (IEEE Robotics Autom. Lett., 2021)

Evolving polydisperse soft robotic jamming grippers. - Seth G. Fitzgerald; Gary W. Delaney; David Howard 001; Frédéric Maire (GECCO Companion, 2022)

Assessing evolutionary terrain generation methods for curriculum reinforcement learning. - David Howard 001; Humphrey Munn; Davide Dolcetti; Josh Kannemeyer; Nicole L. Robinson (GECCO, 2022)

EvoRobogami: co-designing with humans in evolutionary robotics experiments. - Zonghao Huang; Quinn Wu; David Howard 001; Cynthia R. Sung (GECCO, 2022)

Jammkle: Fibre jamming 3D printed multi-material tendons and their application in a robotic ankle. - Joshua Pinskier; James Brett; Lauren Hanson; Katrina Lo Surdo; David Howard 001 (IROS, 2022)

Empowering People in Human-Robot Collaboration: Bringing Together and Synthesising Perspectives. - Stine S. Johansen; Hashini Senaratne; Alan Burden; David Howard 001; Glenda Amayo Caldwell; Jared Donovan; Andreas Duenser; Matthias Guertler; Melanie J. McGrath; Cécile Paris; Markus Rittenbruch; Jonathan Roberts 001 (OZCHI, 2022)

Getting a Grip: in Materio Evolution of Membrane Morphology for Soft Robotic Jamming Grippers. - David Howard 001; Jack O'Connor; Jordan Letchford; James Brett; Therese Joseph; Sophia Lin; Daniel Furby; Gary W. Delaney (RoboSoft, 2022)

Soft Pneumatic Actuators: A Review of Design, Fabrication, Modeling, Sensing, Control and Applications. - Matheus S. Xavier; Charbel Tawk; Ali Zolfagharian; Joshua Pinskier; David Howard 001; Taylor R. Young; Jiewen Lai; Simon M. Harrison; Yuen Kuan Yong; Mahdi Bodaghi; Andrew J. Fleming (IEEE Access, 2022)

From Bioinspiration to Computer Generation: Developments in Autonomous Soft Robot Design. - Joshua Pinskier; David Howard 001 (Adv. Intell. Syst., 2022)

Ethical responsibility and computational design: bespoke surgical tools as an instructive case study. - David M. Douglas; Justine Lacey; David Howard 001 (Ethics Inf. Technol., 2022)

Editorial: Evolving Robotic Morphologies. - David Howard 001; Kyrre Glette; Nick Cheney (Frontiers Robotics AI, 2022)

AutoFac: The Perpetual Robot Machine. - Geoff Nitschke; David Howard 001 (IEEE Trans. Artif. Intell., 2022)

How Rough Is the Path? Terrain Traversability Estimation for Local and Global Path Planning. - Gabriel Günter Waibel; Tobias Löw; Mathieu Nass; David Howard 001; Tirthankar Bandyopadhyay; Paulo Vinicius Koerich Borges (IEEE Trans. Intell. Transp. Syst., 2022)

End-to-End Design of Bespoke, Dexterous Snake-Like Surgical Robots: A Case Study With the RAVEN II. - Andrew Razjigaev; Ajay K. Pandey; David Howard 001; Jonathan Roberts 001; Liao Wu (IEEE Trans. Robotics, 2022)

Empowering People in Human-Robot Collaboration: Why, How, When, and for Whom. - Stine S. Johansen; Hashini Senaratne; Alan Burden; Melanie J. McGrath; Claire M. Mason; Glenda Amayo Caldwell; Jared Donovan; Andreas Duenser; Matthias Guertler; David Howard 001; Yanrang Jiang; Cécile Paris; et al. (OZCHI, 2023)

Measuring Situational Awareness Latency in Human-Robot Teaming Experiments. - Hashini Senaratne; Alex Pitt; Fletcher Talbot; Peyman Moghadam; Pavan Sikka; David Howard 001; Jason Williams 002; Dana Kulic; Cécile Paris (RO-MAN, 2023)

Active Vibration Fluidization for Granular Jamming Grippers. - Cameron Coombe; James Brett; Raghav Mishra; Gary W. Delaney; David Howard 001 (RoboSoft, 2023)

A Comprehensive Dataset of Grains for Granular Jamming in Soft Robotics: Grip Strength and Shock Absorption. - David Howard 001; Jack O'Connor; Jordan Letchford; Therese Joseph; Sophia Lin; Sarah Baldwin; Gary W. Delaney (RoboSoft, 2023)

The Jamming Donut: A Free-Space Gripper Based on Granular Jamming. - Therese Joseph; Sarah Baldwin; Lillian Guan; James Brett; David Howard 001 (RoboSoft, 2023)

Automated design of pneumatic soft grippers through design-dependent multi-material topology optimization. - Joshua Pinskier; Prabhat Kumar 005; Matthijs Langelaar; David Howard 001 (RoboSoft, 2023)

Topology optimization of fluidic pressure-driven multi-material compliant mechanisms. - Prabhat Kumar 005; Joshua Pinskier; David Howard 001; Matthijs Langelaar (CoRR, 2023)

Ethical risks of AI-designed products: bespoke surgical tools as a case study. - David M. Douglas; Justine Lacey; David Howard 001 (AI Ethics, 2023)

Automating Robot Design with Multi-Level Evolution. - Geoff Nitschke; David Howard 001; Bilal Aslan (CEC, 2024)

Evolutionary Exploration of Triply Periodic Minimal Surfaces via Quality Diversity. - Jordan T. Bishop; Jason Jooste; David Howard 001 (GECCO, 2024)

Learning Classifier Systems as a Solver for the Abstraction and Reasoning Corpus. - Cameron Coombe; David Howard 001; Will N. Browne (GECCO Companion, 2024)

Evolution of Material Properties and Gripping Strategy in Soft Robotic Jamming Devices. - Seth G. Fitzgerald; Sarah Baldwin; Gary W. Delaney; David Howard 001; Frédéric Maire (GECCO Companion, 2024)

Machine Learning Accelerated Prediction of 3D Granular Flows in Hoppers. - Duy Le 002; Linh Nguyen; Truong Phung; David Howard 001; Gayan Kahandawa; M. Manzur Murshed; Gary W. Delaney (ICANN (9), 2024)

PINN-Ray: A Physics-Informed Neural Network to Model Soft Robotic Fin Ray Fingers. - Xing Wang 016; Joel Janek Dabrowski; Joshua Pinskier; Lois Liow; Vinoth Viswanathan; Richard Scalzo; David Howard 001 (IROS, 2024)

A 'MAP' to find high-performing soft robot designs: Traversing complex design spaces using MAP-elites and Topology Optimization. - Yue Xie; Joshua Pinskier; Lois Liow; David Howard 001; Fumiya Iida (IROS, 2024)

Hybrid Soft Electrostatic Metamaterial Gripper for Multi-surface, Multi-object Adaptation. - Ryo Kanno; Pham H. Nguyen; Joshua Pinskier; David Howard 001; Sukho Song; Mirko Kovac (RoboSoft, 2024)

Towards Bespoke Soft Grippers through Voxel-Scale Metamaterial Topology Optimisation. - Joshua Pinskier; James Brett; David Howard 001 (RoboSoft, 2024)

Fin-QD: A Computational Design Framework for Soft Grippers: Integrating MAP-Elites and High-fidelity FEM. - Yue Xie; Xing Wang 016; Fumiya Iida; David Howard 001 (RoboSoft, 2024)

A Review of Differentiable Simulators. - Rhys Newbury; Jack Collins; Kerry He; Jiahe Pan; Ingmar Posner; David Howard 001; Akansel Cosgun (IEEE Access, 2024)

Alternative Interfaces for Human-initiated Natural Language Communication and Robot-initiated Haptic Feedback: Towards Better Situational Awareness in Human-Robot Collaboration. - Callum Bennie; Bridget Casey; Cécile Paris; Dana Kulic; Brendan Tidd; Nicholas Lawrance 001; Alex Pitt; Fletcher Talbot; Jason Williams 002; David Howard 001; Pavan Sikka; Hashini Senaratne (CoRR, 2024)

A Compliant Robotic Leg Based on Fibre Jamming. - Lois Liow; James Brett; Joshua Pinskier; Lauren Hanson; Louis Tidswell; Navinda Kottege; David Howard 001 (IEEE Trans. Robotics, 2024)

Diversity-Based Topology Optimization of Soft Robotic Grippers. - Joshua Pinskier; Xing Wang 016; Lois Liow; Yue Xie; Prabhat Kumar 005; Matthijs Langelaar; David Howard 001 (Adv. Intell. Syst., 2024)

Evolutionary Seeding of Diverse Structural Design Solutions via Topology Optimization. - Yue Xie; Joshua Pinskier; Xing Wang 016; David Howard 001 (ACM Trans. Evol. Learn. Optim., 2024)

SoGraB: A Visual Method for Soft Grasping Benchmarking and Evaluation. - Benjamin G. Greenland; Joshua Pinskier; Xing Wang 016; Daniel Nguyen; Ge Shi; Tirthankar Bandyopadhyay; Jen Jen Chung; David Howard 001 (RoboSoft, 2025)

DexGrip: Multi-modal Soft Gripper with Dexterous Grasping and In-hand Manipulation Capacity. - Xing Wang 016; Liam Horrigan; Joshua Pinskier; Ge Shi; Vinoth Viswanathan; Lois Liow; Tirthankar Bandyopadhyay; Jen Jen Chung; David Howard 001 (RoboSoft, 2025)

A democratized bimodal model of research for soft robotics: Integrating slow and fast science. - Nana Obayashi; David Howard 001; Kyle L. Walker; Jonas Jørgensen; Maks Gepner; Dan Sameoto; Adam A. Stokes; Fumiya Iida; Josie Hughes (Sci. Robotics, 2025)

A Framework for Dynamic Situational Awareness in Human Robot Teams: An Interview Study. - Hashini Senaratne; Leimin Tian; Pavan Sikka; Jason Williams 002; David Howard 001; Dana Kulic; Cécile Paris (CoRR, 2025)

Human-Robot Team Performance Compared to Full Robot Autonomy in 16 Real-World Search and Rescue Missions: Adaptation of the DARPA Subterranean Challenge. - Nicole L. Robinson; Jason Williams 002; David Howard 001; Brendan Tidd; Fletcher Talbot; Brett Wood; Alex Pitt; Navinda Kottege; Dana Kulic (ACM Trans. Hum. Robot Interact., 2025)

Ethical risk for AI. - David M. Douglas; Justine Lacey; Gerard David Howard (AI Ethics, 2025)

Learning Behaviours for Decentralised Multi-Robot Collision Avoidance in Constrained Pathways Using Curriculum Reinforcement Learning. - Md. Mostafizur Rahman Komol; Brendan Tidd; Will Browne; Frédéric Maire; Jason Williams 002; Gerard David Howard (IEEE Robotics Autom. Lett., 2025)