74 citations · 153 across the 9 of their papers we have counts for
4 papers · 1 filter
Diversity-based Design Assist for Large Legged Robots
David Howard, Thomas Lowe, Wade Geles
We combine MAP-Elites and highly parallelisable simulation to explore the design space of a class of large legged robots, which stand at around 2m tall and whose design and constru…
On Self-Adaptive Mutation Restarts for Evolutionary Robotics with Real Rotorcraft
Gerard David Howard
Self-adaptive parameters are increasingly used in the field of Evolutionary Robotics, as they allow key evolutionary rates to vary autonomously in a context-sensitive manner throug…
Evolving Spiking Networks with Variable Resistive Memories
Gerard David Howard, Larry Bull, Ben de Lacy Costello +2
Neuromorphic computing is a brainlike information processing paradigm that requires adaptive learning mechanisms. A spiking neuro-evolutionary system is used for this purpose; plas…
A Spiking Neural Learning Classifier System
Gerard Howard, Larry Bull, Pier-Luca Lanzi
Learning Classifier Systems (LCS) are population-based reinforcement learners used in a wide variety of applications. This paper presents a LCS where each traditional rule is repre…