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ROS-PyBullet Interface: A Framework for Reliable Contact Simulation and Human-Robot Interaction

  • Christopher E. Mower
  • , Theodoros Stouraitis
  • , João Moura
  • , Christian Rauch
  • , Lei Yan
  • , Nazanin Zamani Behabadi
  • , Michael Gienger
  • , Tom Vercauteren
  • , Christos Bergeles
  • , Sethu Vijayakumar
  • King's College London
  • University of Edinburgh
  • Honda Motor Co., Ltd.
  • The Alan Turning Institute
  • Harbin Institute of Technology Shenzhen

Research output: Contribution to journalConference articlepeer-review

Abstract

Reliable contact simulation plays a key role in the development of (semi-)autonomous robots, especially when dealing with contact-rich manipulation scenarios, an active robotics research topic. Besides simulation, components such as sensing, perception, data collection, robot hardware control, human interfaces, etc. are all key enablers towards applying machine learning algorithms or model-based approaches in real world systems. However, there is a lack of software connecting reliable contact simulation with the larger robotics ecosystem (i.e. ROS, Orocos), for a more seamless application of novel approaches, found in the literature, to existing robotic hardware. In this paper, we present the ROS-PyBullet Interface, a framework that provides a bridge between the reliable contact/impact simulator PyBullet and the Robot Operating System (ROS). Furthermore, we provide additional utilities for facilitating Human-Robot Interaction (HRI) in the simulated environment. We also present several use-cases that highlight the capabilities and usefulness of our framework. Our code base is open source and can be found at github.com/ros-pybullet/ros pybullet interface.

Original languageEnglish
Pages (from-to)1411-1423
Number of pages13
JournalProceedings of Machine Learning Research
Volume205
StatePublished - 2023
Externally publishedYes
Event6th Conference on Robot Learning, CoRL 2022 - Auckland, New Zealand
Duration: 14 Dec 202218 Dec 2022

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