A review of physics simulators for robotic applications
The use of simulators in robotics research is widespread, underpinning the majority of recent
advances in the field. There are now more options available to researchers than ever before …
advances in the field. There are now more options available to researchers than ever before …
Reproducibility in machine learning-driven research
Research is facing a reproducibility crisis, in which the results and findings of many studies
are difficult or even impossible to reproduce. This is also the case in machine learning (ML) …
are difficult or even impossible to reproduce. This is also the case in machine learning (ML) …
How to pick a mobile robot simulator: A quantitative comparison of CoppeliaSim, Gazebo, MORSE and Webots with a focus on accuracy of motion
A Farley, J Wang, JA Marshall - Simulation Modelling Practice and Theory, 2022 - Elsevier
The number of available tools for dynamic simulation of robots has been growing rapidly in
recent years. However, to the best of our knowledge, there are very few reported quantitative …
recent years. However, to the best of our knowledge, there are very few reported quantitative …
Comparing popular simulation environments in the scope of robotics and reinforcement learning
This letter compares the performance of four different, popular simulation environments for
robotics and reinforcement learning (RL) through a series of benchmarks. The benchmarked …
robotics and reinforcement learning (RL) through a series of benchmarks. The benchmarked …
Beyond simulation: Unlocking the frontiers of humanoid robot capability and intelligence with Pepper's open-source digital twin
This research paper presents a high-fidelity, open-source digital-twin of the Pepper robot
developed within the framework of the Robot Operating System 2 (ROS 2) for better …
developed within the framework of the Robot Operating System 2 (ROS 2) for better …
Reproducibility of machine learning: Terminology, recommendations and open issues
Reproducibility is one of the core dimensions that concur to deliver Trustworthy Artificial
Intelligence. Broadly speaking, reproducibility can be defined as the possibility to reproduce …
Intelligence. Broadly speaking, reproducibility can be defined as the possibility to reproduce …
Learning to Grasp on the Moon from 3D Octree Observations with Deep Reinforcement Learning
Extraterrestrial rovers with a general-purpose robotic arm have many potential applications
in lunar and planetary exploration. Introducing autonomy into such systems is desirable for …
in lunar and planetary exploration. Introducing autonomy into such systems is desirable for …
A robostack tutorial: Using the robot operating system alongside the conda and jupyter data science ecosystems
T Fischer, W Vollprecht, S Traversaro… - IEEE Robotics & …, 2021 - ieeexplore.ieee.org
The Robot Operating System (ROS) has become the de facto standard middleware in the
robotics community. ROS bundles everything, from low-level drivers to tools that transform …
robotics community. ROS bundles everything, from low-level drivers to tools that transform …
On the emergence of whole-body strategies from humanoid robot push-recovery learning
Balancing and push-recovery are essential capabilities enabling humanoid robots to solve
complex locomotion tasks. In this context, classical control systems tend to be based on …
complex locomotion tasks. In this context, classical control systems tend to be based on …
A review of nine physics engines for reinforcement learning research
We present a review of popular simulation engines and frameworks used in reinforcement
learning (RL) research, aiming to guide researchers in selecting tools for creating simulated …
learning (RL) research, aiming to guide researchers in selecting tools for creating simulated …