ROS-PyBullet Interface: A Framework for Reliable Contact Simulation and Human-Robot Interaction
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Abstract (arXiv)
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. Please check our video, source code, and examples included in the supplementary material. Our full code base is open source and can be found at https://github.com/cmower/ros_pybullet_interface.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 13 of its 70 references that are in the map. First posted on arXiv 13 Oct 2022.
Builds on
13 of 70 references.
References · 13
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- 2022Kubric: A scalable dataset generatorcited by 373
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- 2018Supervised Autonomous Locomotion and Manipulation for Disaster Response with a Centaur-like Robotcited by 3
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Citing papers per year: 2023: 2; 2024: 2; 2025: 0; 2026: 1.
5 papers.
- 2024ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoningcited by 27
- 2023Nonprehensile Planar Manipulation through Reinforcement Learning with Multimodal Categorical Explorationcited by 6
- 2024SliceIt! -- A Dual Simulator Framework for Learning Robot Food Slicingcited by 6
- 2023Few-Shot Learning of Force-Based Motions From Demonstration Through Pre-training of Haptic Representationcited by 5
- 2026A Comprehensive Review of Generative Physical Artificial Intelligencecited by 0
- 2026A Comprehensive Review of Generative Physical Artificial Intelligence16 Sep 2026
- 2024ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning28 Jun 2024
- 2024SliceIt! -- A Dual Simulator Framework for Learning Robot Food Slicing3 Apr 2024
- 2023Few-Shot Learning of Force-Based Motions From Demonstration Through Pre-training of Haptic Representation8 Sep 2023
- 2023Nonprehensile Planar Manipulation through Reinforcement Learning with Multimodal Categorical Exploration4 Aug 2023