7 citations · 20 across the 12 of their papers we have counts for
13 papers
A Data-Centric Approach For Dual-Arm Robotic Garment Flattening
Li Duan, Gerardo Aragon-Camarasa
Due to the high dimensionality of object states, a garment flattening pipeline requires recognising the configurations of garments for a robot to produce/select manipulation plans…
Recognising Known Configurations of Garments For Dual-Arm Robotic Flattening
Li Duan, Gerardo Argon-Camarasa
Robotic deformable-object manipulation is a challenge in the robotic industry because deformable objects have complicated and various object states. Predicting those object states…
A Systematic Comparison of Simulation Software for Robotic Arm Manipulation using ROS2
Florent P. Audonnet, Andrew Hamilton, Gerardo Aragon-Camarasa
Simulation software is a powerful tool for robotics research, allowing the virtual representation of the real world. However with the rise of the Robot Operating System (ROS), ther…
Learning Physics Properties of Fabrics and Garments with a Physics Similarity Neural Network
Li Duan, Lewis Boyd, Gerardo Aragon-Camarasa
In this paper, we propose to predict the physics parameters of real fabrics and garments by learning their physics similarities between simulated fabrics via a Physics Similarity N…
GarNet: A Continuous Robot Vision Approach for Predicting Shapes and Visually Perceived Weights of Garments
Li Duan, Gerardo Aragon-Camarasa
We present a Garment Similarity Network (GarNet) that learns geometric and physical similarities between known garments by continuously observing a garment while a robot picks it u…
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks
Luca Marzari, Ameya Pore, Diego Dall'Alba +3
Deep Reinforcement Learning (DRL) is emerging as a promising approach to generate adaptive behaviors for robotic platforms. However, a major drawback of using DRL is the data-hungr…
Enabling the Sense of Self in a Dual-Arm Robot
Ali AlQallaf, Gerardo Aragon-Camarasa
While humans are aware of their body and capabilities, robots are not. To address this, we present in this paper a neural network architecture that enables a dual-arm robot to get…
Continuous Perception for Classifying Shapes and Weights of Garmentsfor Robotic Vision Applications
Li Duan, Gerardo Aragon-Camarasa
We present an approach to continuous perception for robotic laundry tasks. Our assumption is that the visual prediction of a garment's shapes and weights is possible via a neural n…
Intrinsic Robotic Introspection: Learning Internal States From Neuron Activations
Nikos Pitsillos, Ameya Pore, Bjorn Sand Jensen +1
We present an introspective framework inspired by the process of how humans perform introspection. Our working assumption is that neural network activations encode information, and…
On Simple Reactive Neural Networks for Behaviour-Based Reinforcement Learning
Ameya Pore, Gerardo Aragon-Camarasa
We present a behaviour-based reinforcement learning approach, inspired by Brook's subsumption architecture, in which simple fully connected networks are trained as reactive behavio…
Single-Shot Clothing Category Recognition in Free-Configurations with Application to Autonomous Clothes Sorting
Li Sun, Gerardo Aragon-Camarasa, Simon Rogers +2
This paper proposes a single-shot approach for recognising clothing categories from 2.5D features. We propose two visual features, BSP (B-Spline Patch) and TSD (Topology Spatial Di…
Robot Vision Architecture for Autonomous Clothes Manipulation
Li Sun, Gerardo Aragon-Camarasa, Simon Rogers +1
This paper presents a novel robot vision architecture for perceiving generic 3D clothes configurations. Our architecture is hierarchically structured, starting from low-level curva…
Glasgow's Stereo Image Database of Garments
Gerardo Aragon-Camarasa, Susanne B. Oehler, Yuan Liu +3
To provide insight into cloth perception and manipulation with an active binocular robotic vision system, we compiled a database of 80 stereo-pair colour images with corresponding…