PyRobot: An Open-source Robotics Framework for Research and Benchmarking
Adithyavairavan Murali, Tao Chen, Kalyan Vasudev Alwala, Dhiraj, Gandhi, Lerrel Pinto, Saurabh Gupta, Abhinav Gupta

TL;DR
PyRobot is an open-source, high-level robotics framework built on ROS that simplifies robot control for researchers, enabling easier development of AI applications and benchmarking with accessible datasets and models.
Contribution
The paper introduces PyRobot, a lightweight, hardware-independent API that abstracts low-level details, facilitating research and benchmarking for non-robotics experts.
Findings
Provides a consistent API across different robots
Reduces entry barrier to robotics research
Supports integration with datasets and AI models
Abstract
This paper introduces PyRobot, an open-source robotics framework for research and benchmarking. PyRobot is a light-weight, high-level interface on top of ROS that provides a consistent set of hardware independent mid-level APIs to control different robots. PyRobot abstracts away details about low-level controllers and inter-process communication, and allows non-robotics researchers (ML, CV researchers) to focus on building high-level AI applications. PyRobot aims to provide a research ecosystem with convenient access to robotics datasets, algorithm implementations and models that can be used to quickly create a state-of-the-art baseline. We believe PyRobot, when paired up with low-cost robot platforms such as LoCoBot, will reduce the entry barrier into robotics, and democratize robotics. PyRobot is open-source, and can be accessed via https://pyrobot.org.
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Taxonomy
TopicsRobot Manipulation and Learning · Modular Robots and Swarm Intelligence · Robotics and Automated Systems
