116 citations · 176 across the 11 of their papers we have counts for
14 papers
Self-supervised Monocular Depth Estimation: Let's Talk About The Weather
Kieran Saunders, George Vogiatzis, Luis Manso
Current, self-supervised depth estimation architectures rely on clear and sunny weather scenes to train deep neural networks. However, in many locations, this assumption is too str…
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms
Anthony Francis, Claudia Pérez-D'Arpino, Chengshu Li +28
A major challenge to deploying robots widely is navigation in human-populated environments, commonly referred to as social robot navigation. While the field of social navigation ha…
SocNavGym: A Reinforcement Learning Gym for Social Navigation
Aditya Kapoor, Sushant Swamy, Luis Manso +1
It is essential for autonomous robots to be socially compliant while navigating in human-populated environments. Machine Learning and, especially, Deep Reinforcement Learning have…
Multi-person 3D pose estimation from unlabelled data
Daniel Rodriguez-Criado, Pilar Bachiller, George Vogiatzis +1
Its numerous applications make multi-human 3D pose estimation a remarkably impactful area of research. Nevertheless, assuming a multiple-view system composed of several regular RGB…
Dyna-DM: Dynamic Object-aware Self-supervised Monocular Depth Maps
Kieran Saunders, George Vogiatzis, Luis J. Manso
Self-supervised monocular depth estimation has been a subject of intense study in recent years, because of its applications in robotics and autonomous driving. Much of the recent w…
Fruit Quality and Defect Image Classification with Conditional GAN Data Augmentation
Jordan J. Bird, Chloe M. Barnes, Luis J. Manso +2
Contemporary Artificial Intelligence technologies allow for the employment of Computer Vision to discern good crops from bad, providing a step in the pipeline of selecting healthy…
A Graph Neural Network to Model Disruption in Human-Aware Robot Navigation
Pilar Bachiller, Daniel Rodriguez-Criado, Ronit R. Jorvekar +3
Autonomous navigation is a key skill for assistive and service robots. To be successful, robots have to minimise the disruption caused to humans while moving. This implies predicti…
Generation of Human-aware Navigation Maps using Graph Neural Networks
Daniel Rodriguez-Criado, Pilar Bachiller, Luis J. Manso
Minimising the discomfort caused by robots when navigating in social situations is crucial for them to be accepted. The paper presents a machine learning-based framework that boots…
A Toolkit to Generate Social Navigation Datasets
Rishabh Baghel, Aditya Kapoor, Pilar Bachiller +3
Social navigation datasets are necessary to assess social navigation algorithms and train machine learning algorithms. Most of the currently available datasets target pedestrians'…
Multi-camera Torso Pose Estimation using Graph Neural Networks
Daniel Rodriguez-Criado, Pilar Bachiller, Pablo Bustos +2
Estimating the location and orientation of humans is an essential skill for service and assistive robots. To achieve a reliable estimation in a wide area such as an apartment, mult…
Graph Neural Networks for Human-aware Social Navigation
Luis J. Manso, Ronit R. Jorvekar, Diego R. Faria +2
Autonomous navigation is a key skill for assistive and service robots. To be successful, robots have to navigate avoiding going through the personal spaces of the people surroundin…
SocNav1: A Dataset to Benchmark and Learn Social Navigation Conventions
Luis J. Manso, Pedro Nunez, Luis V. Calderita +2
Adapting to social conventions is an unavoidable requirement for the acceptance of assistive and social robots. While the scientific community broadly accepts that assistive robots…
A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction
Jordan J. Bird, Diego R. Faria, Luis J. Manso +2
This study suggests a new approach to EEG data classification by exploring the idea of using evolutionary computation to both select useful discriminative EEG features and optimise…
Improving the lifecycle of robotics components using Domain-Specific Languages
A. Romero-Garces, L. J. Manso, Marco A. Gutierez +2
There is currently a large amount of robotics software using the component-oriented programming paradigm. However, the rapid growth in number and complexity of components may compr…