5 citations · 6 across the 2 of their papers we have counts for
5 papers
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…
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…
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…