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20182022
most citedgym-gazebo2, a toolkit for reinforcement learning using ROS 2 and Gazebo

25 citations · 49 across the 5 of their papers we have counts for

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10 papers · 1 filter

cs.RO2025

Offensive Robot Cybersecurity

Víctor Mayoral-Vilches

Offensive Robot Cybersecurity introduces a groundbreaking approach by advocating for offensive security methods empowered by means of automation. It emphasizes the necessity of und…

cs.RO20222 cited

Robot Hacking Manual (RHM)

Víctor Mayoral-Vilches

Robots are often shipped insecure and in some cases fully unprotected. The rationale behind is fourfold: first, defensive security mechanisms for robots are still on their early st…

cs.RO20218 cited

Adaptive Computing in Robotics, Leveraging ROS 2 to Enable Software-Defined Hardware for FPGAs

Víctor Mayoral-Vilches, Giulio Corradi

Traditional software development in robotics is about programming functionality in the CPU of a given robot with a pre-defined architecture and constraints. With adaptive computing…

cs.RO2021

Cybersecurity in Robotics: Challenges, Quantitative Modeling, and Practice

Quanyan Zhu, Stefan Rass, Bernhard Dieber +1

Robotics is becoming more and more ubiquitous, but the pressure to bring systems to market occasionally goes at the cost of neglecting security mechanisms during the development, d…

cs.RO20198 cited

ROS2Learn: a reinforcement learning framework for ROS 2

Yue Leire Erro Nuin, Nestor Gonzalez Lopez, Elias Barba Moral +4

We propose a novel framework for Deep Reinforcement Learning (DRL) in modular robotics to train a robot directly from joint states, using traditional robotic tools. We use an state…

cs.RO201925 cited

gym-gazebo2, a toolkit for reinforcement learning using ROS 2 and Gazebo

Nestor Gonzalez Lopez, Yue Leire Erro Nuin, Elias Barba Moral +4

This paper presents an upgraded, real world application oriented version of gym-gazebo, the Robot Operating System (ROS) and Gazebo based Reinforcement Learning (RL) toolkit, which…