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David Howard — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
David Howard
16
papers ·
3
citations ·
32
h-index
Greater Manchester Police · University of Manchester
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Most-cited papers
Assessing Evolutionary Terrain Generation Methods For Curriculum Reinforcement Learning
2022 · 3 citations
Grasp Synthesis Matching From Rigid To Soft Robot Grippers Using Conditional Flow Matching
2026
SimTO: A two-stage, simulation-driven topology optimization framework for bespoke soft robotic grippers
2026
Programmable Telescopic Soft Pneumatic Actuators for Deployable and Shape Morphing Soft Robots
2025
Towards the Targeted Environment-Specific Evolution of Robot Components
2018
Quantifying the Reality Gap in Robotic Manipulation Tasks
2018
Diversity-based Design Assist for Large Legged Robots
2020
Path Towards Multilevel Evolution of Robots
2020
Semi-supervised Gated Recurrent Neural Networks for Robotic Terrain Classification
2020
Getting a Grip: in Materio Evolution of Membrane Morphology for Soft Robotic Jamming Grippers
2021
A Compliant Robotic Leg Based on Fibre Jamming
2023
Fin-QD: A Computational Design Framework for Soft Grippers: Integrating MAP-Elites and High-fidelity FEM
2023
Hybrid Soft Electrostatic Metamaterial Gripper for Multi-surface, Multi-object Adaptation
2024
A 'MAP' to find high-performing soft robot designs: Traversing complex design spaces using MAP-elites and Topology Optimization
2024
Whole-Body Dynamic Throwing with Legged Manipulators
2024
Topics
Manipulation
Locomotion
Multi-Robot
Sim-to-Real
Control
Humanoid
Human-Robot Interaction