activity
20132021
most citedImproving the lifecycle of robotics components using Domain-Specific Languages

9 citations · 10 across the 3 of their papers we have counts for

collaborators

9 papers

cs.CV20211 cited

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…

cs.RO2021

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…

cs.RO2020

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…

cs.RO2020

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'…

cs.RO2020

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…

cs.RO2019

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…