Gerard David Howard

Affiliations:
  • CSIRO, Robotics and Autonomous Systems Group, Pullenvale, Australia


According to our database1, Gerard David Howard authored at least 98 papers between 2008 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Learning Behaviours for Decentralised Multi-Robot Collision Avoidance in Constrained Pathways Using Curriculum Reinforcement Learning.
IEEE Robotics Autom. Lett., August, 2025

Ethical risk for AI.
AI Ethics, June, 2025

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., March, 2025

A Framework for Dynamic Situational Awareness in Human Robot Teams: An Interview Study.
CoRR, January, 2025

A democratized bimodal model of research for soft robotics: Integrating slow and fast science.
Sci. Robotics, 2025

DexGrip: Multi-modal Soft Gripper with Dexterous Grasping and In-hand Manipulation Capacity.
Proceedings of the 8th IEEE International Conference on Soft Robotics, 2025

SoGraB: A Visual Method for Soft Grasping Benchmarking and Evaluation.
Proceedings of the 8th IEEE International Conference on Soft Robotics, 2025

2024
Evolutionary Seeding of Diverse Structural Design Solutions via Topology Optimization.
ACM Trans. Evol. Learn. Optim., December, 2024

Diversity-Based Topology Optimization of Soft Robotic Grippers.
Adv. Intell. Syst., April, 2024

A Compliant Robotic Leg Based on Fibre Jamming.
IEEE Trans. Robotics, 2024

Alternative Interfaces for Human-initiated Natural Language Communication and Robot-initiated Haptic Feedback: Towards Better Situational Awareness in Human-Robot Collaboration.
CoRR, 2024

A Review of Differentiable Simulators.
IEEE Access, 2024

Fin-QD: A Computational Design Framework for Soft Grippers: Integrating MAP-Elites and High-fidelity FEM.
Proceedings of the 7th IEEE International Conference on Soft Robotics, 2024

Towards Bespoke Soft Grippers through Voxel-Scale Metamaterial Topology Optimisation.
Proceedings of the 7th IEEE International Conference on Soft Robotics, 2024

Hybrid Soft Electrostatic Metamaterial Gripper for Multi-surface, Multi-object Adaptation.
Proceedings of the 7th IEEE International Conference on Soft Robotics, 2024

A 'MAP' to find high-performing soft robot designs: Traversing complex design spaces using MAP-elites and Topology Optimization.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

PINN-Ray: A Physics-Informed Neural Network to Model Soft Robotic Fin Ray Fingers.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Machine Learning Accelerated Prediction of 3D Granular Flows in Hoppers.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Evolution of Material Properties and Gripping Strategy in Soft Robotic Jamming Devices.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Learning Classifier Systems as a Solver for the Abstraction and Reasoning Corpus.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Evolutionary Exploration of Triply Periodic Minimal Surfaces via Quality Diversity.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Automating Robot Design with Multi-Level Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
Ethical risks of AI-designed products: bespoke surgical tools as a case study.
AI Ethics, November, 2023

Topology optimization of fluidic pressure-driven multi-material compliant mechanisms.
CoRR, 2023

Automated design of pneumatic soft grippers through design-dependent multi-material topology optimization.
Proceedings of the IEEE International Conference on Soft Robotics, 2023

The Jamming Donut: A Free-Space Gripper Based on Granular Jamming.
Proceedings of the IEEE International Conference on Soft Robotics, 2023

A Comprehensive Dataset of Grains for Granular Jamming in Soft Robotics: Grip Strength and Shock Absorption.
Proceedings of the IEEE International Conference on Soft Robotics, 2023

Active Vibration Fluidization for Granular Jamming Grippers.
Proceedings of the IEEE International Conference on Soft Robotics, 2023

Measuring Situational Awareness Latency in Human-Robot Teaming Experiments.
Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

Empowering People in Human-Robot Collaboration: Why, How, When, and for Whom.
Proceedings of the 35th Australian Computer-Human Interaction Conference, 2023

2022
End-to-End Design of Bespoke, Dexterous Snake-Like Surgical Robots: A Case Study With the RAVEN II.
IEEE Trans. Robotics, 2022

How Rough Is the Path? Terrain Traversability Estimation for Local and Global Path Planning.
IEEE Trans. Intell. Transp. Syst., 2022

AutoFac: The Perpetual Robot Machine.
IEEE Trans. Artif. Intell., 2022

Editorial: Evolving Robotic Morphologies.
Frontiers Robotics AI, 2022

Ethical responsibility and computational design: bespoke surgical tools as an instructive case study.
Ethics Inf. Technol., 2022

From Bioinspiration to Computer Generation: Developments in Autonomous Soft Robot Design.
Adv. Intell. Syst., 2022

Soft Pneumatic Actuators: A Review of Design, Fabrication, Modeling, Sensing, Control and Applications.
IEEE Access, 2022

Getting a Grip: in Materio Evolution of Membrane Morphology for Soft Robotic Jamming Grippers.
Proceedings of the 5th IEEE International Conference on Soft Robotics, 2022

Empowering People in Human-Robot Collaboration: Bringing Together and Synthesising Perspectives.
Proceedings of the 34th Australian Conference on Human-Computer Interaction, OzCHI 2022, Canberra, ACT, Australia, 29 November 2022, 2022

Jammkle: Fibre jamming 3D printed multi-material tendons and their application in a robotic ankle.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

EvoRobogami: co-designing with humans in evolutionary robotics experiments.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Assessing evolutionary terrain generation methods for curriculum reinforcement learning.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Evolving polydisperse soft robotic jamming grippers.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
Semi-Supervised Gated Recurrent Neural Networks for Robotic Terrain Classification.
IEEE Robotics Autom. Lett., 2021

Real-world embodied AI through a morphologically adaptive quadruped robot.
Nat. Mach. Intell., 2021

Three-Dimensional Mapping with Augmented Navigation Cost through Deep Learning.
J. Intell. Robotic Syst., 2021

Multi-Level Evolution for Robotic Design.
Frontiers Robotics AI, 2021

Environmental Adaptation of Robot Morphology and Control Through Real-World Evolution.
Evol. Comput., 2021

Vibration Improves Performance in Granular Jamming Grippers.
CoRR, 2021

Follow the Gradient: Crossing the Reality Gap using Differentiable Physics (RealityGrad).
CoRR, 2021

Moral responsibility for computationally designed products.
AI Ethics, 2021

A Review of Physics Simulators for Robotic Applications.
IEEE Access, 2021

Shape, Size, and Fabrication Effects in 3D Printed Granular Jamming Grippers.
Proceedings of the 4th IEEE International Conference on Soft Robotics, 2021

SnakeRaven: Teleoperation of a 3D Printed Snake-like Manipulator Integrated to the RAVEN II Surgical Robot.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Model Identification of a Small Fully-Actuated Aquatic Surface Vehicle Using a Long Short-Term Memory Neural Network.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Evolving soft robotic jamming grippers.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance Targeting Neuromorphic Processors.
IEEE Trans. Neural Networks Learn. Syst., 2020

Benchmarking Simulated Robotic Manipulation Through a Real World Dataset.
IEEE Robotics Autom. Lett., 2020

Traversing the Reality Gap via Simulator Tuning.
CoRR, 2020

Crossing the Reality Gap with Evolved Plastic Neurocontrollers.
CoRR, 2020

Evolving Spiking Neurocontrollers for UAVs.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Towards crossing the reality gap with evolved plastic neurocontrollers.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Real world morphological evolution is feasible.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Diversity-based design assist for large legged robots.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Multi-objective exploration of a granular matter design space.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Path towards multilevel evolution of robots.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Evolving embodied intelligence from materials to machines.
Nat. Mach. Intell., 2019

A staged approach to evolving real-world UAV controllers.
Evol. Intell., 2019

Quantifying the Reality Gap in Robotic Manipulation Tasks.
Proceedings of the International Conference on Robotics and Automation, 2019

Utilising Evolutionary Algorithms to Design Granular Materials for Industrial Applications.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Comparing Direct and Indirect Representations for Environment-Specific Robot Component Design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Evolving Memristive Neural Networks.
Proceedings of the Handbook of Memristor Networks., 2019

2018
Evolving Spiking Neural Networks for Nonlinear Control Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Towards the targeted environment-specific evolution of robot components.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
A Platform That Directly Evolves Multirotor Controllers.
IEEE Trans. Evol. Comput., 2017

Differential Evolution and Bayesian Optimisation for Hyper-Parameter Selection in Mixed-Signal Neuromorphic Circuits Applied to UAV Obstacle Avoidance.
CoRR, 2017

On Self-Adaptive Mutation Restarts for Evolutionary Robotics with Real Rotorcraft.
CoRR, 2017

A testbed that evolves hexapod controllers in hardware.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

On self-adaptive rate restarts for evolutionary robotics with real rotorcraft.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers.
Neural Process. Lett., 2016

Towards Evolved Time to Contact Neurocontrollers for Quadcopters.
Proceedings of the Artificial Life and Computational Intelligence, 2016

2015
Evolving unipolar memristor spiking neural networks.
Connect. Sci., 2015

A platform for the direct hardware evolution of quadcopter controllers.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014
Evolving Spiking Networks with Variable Resistive Memories.
Evol. Comput., 2014

Evolving Spiking Networks for Turbulence-Tolerant Quadrotor Control.
Proceedings of the Fourteenth International Conference on the Simulation and Synthesis of Living Systems, 2014

2013
A SPICE Model of the PEO-Pani memristor.
Int. J. Bifurc. Chaos, 2013

2012
Evolution of Plastic Learning in Spiking Networks via Memristive Connections.
IEEE Trans. Evol. Comput., 2012

Organic memristor Devices for Logic Elements with Memory.
Int. J. Bifurc. Chaos, 2012

A Spiking Neural Learning Classifier System
CoRR, 2012

Cartesian Genetic Programming for Memristive Logic Circuits.
Proceedings of the Genetic Programming - 15th European Conference, 2012

2011
Constructivist and spiking neural learning classifier systems.
PhD thesis, 2011

Towards evolving spiking networks with memristive synapses.
Proceedings of the 2011 IEEE Symposium on Artificial Life, 2011

Evolving spiking networks with variable memristors.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
A spiking neural representation for XCSF.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Use of a Connection-Selection Scheme in Neural XCSF.
Proceedings of the Learning Classifier Systems, 2009

Towards continuous actions in continuous space and time using self-adaptive constructivism in neural XCSF.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008
Self-adaptive constructivism in Neural XCS and XCSF.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

On the effects of node duplication and connection-oriented constructivism in neural XCSF.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008


  Loading...