162 citations · 384 across the 14 of their papers we have counts for
5 papers · 1 filter
Benchmarking Simulated Robotic Manipulation through a Real World Dataset
Jack Collins, Jessie McVicar, David Wedlock +3
We present a benchmark to facilitate simulated manipulation; an attempt to overcome the obstacles of physical benchmarks through the distribution of a real world, ground truth data…
Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance targeting Neuromorphic Processors
Llewyn Salt, David Howard, Giacomo Indiveri +1
The Lobula Giant Movement Detector (LGMD) is an identified neuron of the locust that detects looming objects and triggers the insect's escape responses. Understanding the neural pr…
Evolving Spiking Neural Networks for Nonlinear Control Problems
Huanneng Qiu, Matthew Garratt, David Howard +1
Spiking Neural Networks are powerful computational modelling tools that have attracted much interest because of the bioinspired modelling of synaptic interactions between neurons.…
Comparing Direct and Indirect Representations for Environment-Specific Robot Component Design
Jack Collins, Ben Cottier, David Howard
We compare two representations used to define the morphology of legs for a hexapod robot, which are subsequently 3D printed. A leg morphology occupies a set of voxels in a voxel gr…
Evolving embodied intelligence from materials to machines
David Howard, Agoston E. Eiben, Danielle Frances Kennedy +3
Natural lifeforms specialise to their environmental niches across many levels; from low-level features such as DNA and proteins, through to higher-level artefacts including eyes, l…