10 citations · 37 across the 9 of their papers we have counts for
9 papers
Trajectory Tracking Control of Skid-Steering Mobile Robots with Slip and Skid Compensation using Sliding-Mode Control and Deep Learning
Payam Nourizadeh, Fiona J Stevens McFadden, Will N Browne
Compensating for slip and skid is crucial for mobile robots navigating outdoor terrains. In these challenging environments, slipping and skidding introduce uncertainties into traje…
Pittsburgh Learning Classifier Systems for Explainable Reinforcement Learning: Comparing with XCS
Jordan T. Bishop, Marcus Gallagher, Will N. Browne
Interest in reinforcement learning (RL) has recently surged due to the application of deep learning techniques, but these connectionist approaches are opaque compared with symbolic…
A Genetic Fuzzy System for Interpretable and Parsimonious Reinforcement Learning Policies
Jordan T. Bishop, Marcus Gallagher, Will N. Browne
Reinforcement learning (RL) is experiencing a resurgence in research interest, where Learning Classifier Systems (LCSs) have been applied for many years. However, traditional Michi…
Lateralization in Agents' Decision Making: Evidence of Benefits/Costs from Artificial Intelligence
Abubakar Siddique, Will N. Browne, Gina M. Grimshaw
Lateralization is ubiquitous in vertebrate brains which, as well as its role in locomotion, is considered an important factor in biological intelligence. Lateralization has been as…
Predicting Class Distribution Shift for Reliable Domain Adaptive Object Detection
Nicolas Harvey Chapman, Feras Dayoub, Will Browne +1
Unsupervised Domain Adaptive Object Detection (UDA-OD) uses unlabelled data to improve the reliability of robotic vision systems in open-world environments. Previous approaches to…
Lateralized Learning for Multi-Class Visual Classification Tasks
Abubakar Siddique, Will N. Browne, Gina M. Grimshaw
The majority of computer vision algorithms fail to find higher-order (abstract) patterns in an image so are not robust against adversarial attacks, unlike human lateralized vision.…