Apache License 2.0

技术解读

以下内容由 GitRead 中文社区 编辑团队基于项目 README 与官方资料整理, 结合中文开发者的常见使用场景补充技术选型建议。具体以项目官方文档为准。

ROS2 仓库深度分析 —— IFRA-Cranfield/ros2_SimRealRobotControl

项目背景与痛点

在工业自动化和协作机器人的领域中,统一、简便且高效的机器人控制平台是提升开发效率和系统稳定性的关键。然而,市场上现有的解决方案往往复杂难以维护,或缺乏足够的灵活性,无法支持不同类型的机器人。

IFRA-Cranfield/ros2_SimRealRobotControl 仓库正是解决这一痛点的利器。它提供预构建的 ROS2 (Humble) 包,使得用户能够快速部署并控制工业和协作机器人。项目的核心目标在于简化编程和控制流程,让用户可以快速上手并对机器人进行高效的监控和控制。

核心技术揭秘

该项目基于 ROS2 Humble 构建,核心模块结构采用了模块化设计,便于持续扩展和维护。以下是一张数据流程图,用来解释整个模块之间的关系:

graph TD A[用户请求] --> B{"参数校验"} B -->|"通过"| C[执行业务] C --> D[调用控制逻辑] D --> E[控制代码] E --> F[执行控制指令] B -->|"失败"| G[返回错误]

技术架构

  1. ROS2 通信框架:ROS2 是该项目的基石,其基于 DDS (Data Distribution Service) 的架构能够有效处理实时数据传输,非常适合高带宽、低延迟的应用场景。
  2. 模块化设计:整个系统以模块化形式拆分,各个模块负责部分功能。模块间的交互通过 ROS2 提供的通信机制进行,保证了系统的灵活性和可扩展性。
  3. 控制逻辑处理:控制逻辑模块负责解析用户指令,转换成机器人能够理解的操作命令。具体控制代码由模块下发,直接与机器人硬件层交互。

功能亮点与差异

与其他竞品相比,该项目的主要亮点在于其简单性和灵活性。项目不仅仅提供了一套可以使用的包,还强调了模块的灵活性,允许开发者根据自己的业务需求进行定制。

独特设计

  • 模块化:允许开发者聚焦自己关心的功能,快速替换或增减模块,非常利于大规模系统的构建和维护。
  • 数据流清晰:易理解的数据流设计,使得调试和维护更为方便。
  • 拓展性:支持多种类型的工业和协作机器人,可以根据需要快速拓展和集成新的服务。

应用场景与落地建议

在生产环境中使用此项目时,需要关注以下几个方面:

  1. 系统维护和监控:监控系统的运行状态,及时响应异常情况,减少宕机时间。
  2. 安全性:考虑到机器人操作的特殊性和安全性,需确保所有的控制指令都经过严格校验,防止错误操作。
  3. 性能调优:根据实际运行情况对系统进行调优,确保实时数据传输的高效性。

此项目适用于需要对多种类型机器人进行灵活控制和管理的场景,例如工业生产线中的自动化设备控制、实验室中的操作机器人等。

综合评价

该仓库在简化机器人控制领域方面做出了很好的贡献,在模块设计和灵活性上有明显的优势。但同时,它的一些模块依赖于用户高级配置,初学者可能需要一定的学习成本。总的来说,这是一款实用且灵活的工具,适合有经验的开发者快速部署和控制机器人,尤其适用于工业自动化和实验室场景中的机器人控制任务。

关于

GitHub 原始描述(英文)

This repository provides ready-to-use ROS2 (Humble) packages to execute simple programs and sequences and control different Industrial and Collaborative Robots using ROS 2.

描述取自 GitHub 官方 API,保持仓库作者书写的原文。

简要分析

热度分
356
价值分
177
活跃状态
活跃

语言占比

C++
CMake
Python

README


header

ROS 2: Sim-to-Real Robot Control

IFRA (Intelligent Flexible Robotics and Assembly) Group
Centre for Robotics and Assembly
Cranfield University

Table of Contents
  1. About
  2. Documentation
  3. Supported Robots and End-Effectors
  4. Contributing
  5. License
  6. Cite our work
  7. Contact
  8. Acknowledgments

About

Intelligent Flexible Robotics and Assembly Group

The IFRA (Intelligent Flexible Robotics and Assembly) Group is part of the Centre for Robotics and Assembly at Cranfield University.

IFRA Group pushes technical boundaries. At IFRA we provide high tech automation & assembly solutions, and we support smart manufacturing with Smart Industry technologies and solutions. Flexible Manufacturing Systems (FMS) are a clear example. They can improve overall operations and throughput quality by adapting to real-time changes and situations, supporting and pushing the transition towards flexible, intelligent and responsive automation, which we continuously seek and support.

The IFRA Group undertakes innovative research to design, create and improve Intelligent, Responsive and Flexible automation & assembly solutions, and this series of GitHub repositories provide background information and resources of how these developments are supported.

SOCIAL MEDIA:

IFRA-Cranfield:

Centre for Robotics and Assembly:

ros2_SimRealRobotControl Repository

The IFRA-Cranfield/ros2_SimRealRobotControl GitHub repository is a comprehensive framework designed to facilitate seamless integration of robots into both simulated and real-world environments using ROS 2. It provides a modular setup that allows for the easy deployment of various robot configurations, along with their corresponding controllers and end-effectors, without needing to redefine core parameters. The repository is built to support multiple robots, such as the ABB IRB-120, by enabling the use of ROS 2 packages that handle simulation, control, and MoveIt!2 for robot motion planning.

This repository is ideal for robotics researchers and developers who want to streamline the process of setting up robot environments for simulation and real-world tasks. It supports both Gazebo-based simulation for testing robot setups and MoveIt!2 for controlling robots in either virtual or physical environments. By organizing key robot and end-effector parameters in a modular way, it offers a flexible approach that makes it easy to switch between different robots, configurations, or tasks, accelerating both development and testing processes in industrial automation, robotics research, and advanced manufacturing systems.

VIDEO: Simulation and Control of an ABB-IRB120 using ROS 2

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VIDEO: Simulation and Control of a Universal Robots - UR3 using ROS 2

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Documentation

For detailed information on installation, usage, and requirements, please refer to the following documentation files available in this repository:

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Supported Robots and End-Effectors

The Simulation & Control packages of the following Robots are currently included in our repository:

  • ABB IRB-120.
  • ABB IRB-1200.
  • ABB IRB-1600.
  • ABB IRB-6640.
  • Annin Robotics AR4.
  • Universal Robots UR3.
  • Universal Robots UR3e.
  • Universal Robots UR5.
  • Universal Robots UR5e.
  • Universal Robots UR10.
  • Universal Robots UR10e.
  • Universal Robots UR16e.
  • Universal Robots UR20.
  • KUKA LBR-iiwa.
  • Staubli RX-160.

The following end-effectors are supported in ros2srrc:

  • Schunk EGP-64 Parallel Gripper.
  • Zimmer GPP5010NC Parallel Gripper.
  • Robotiq HandE Parallel Gripper.
  • Robotiq 2f-85 Parallel Gripper.
  • Robotiq 2f-140 Parallel Gripper.
  • Annin Robotics AR4 Parallel Gripper.
  • Custom Vacuum Gripper (Cranfield University).
  • Custom Vacuum Gripper (AMRC-Sheffield).

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Contributing

This repo contains only a few number of robots, end-effectors and simulation environments (layouts). Please do let us know if you wish to include a specific robot/end-effector or application into ros2_SimRealRobotControl!

The exact same thing for the ROS 2 Robot Actions/Triggers: A few number of robot movements have been implemented, therefore please do let us know if you have any ideas of a potential Robot motions for our repo!

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated. If you have a suggestion that would make this better, or you find a solution to any of the issues/improvements presented above, please fork the repo and create a pull request. You can also simply open an issue with the tag “enhancement”. Don’t forget to give the project a star! Thank you very much!

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License

Intelligent Flexible Robotics and Assembly Group
Created on behalf of the IFRA Group at Cranfield University, United Kingdom
E-mail: [email protected]

Licensed under the Apache-2.0 License.
You may obtain a copy of the License at: http://www.apache.org/licenses/LICENSE-2.0

Cranfield University
School of Aerospace, Transport and Manufacturing (SATM)
Centre for Robotics and Assembly
College Road, Cranfield
MK43 0AL, Bedfordshire, UK

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Cite our work

You can cite our work with the following statement:
IFRA-Cranfield (2023) ROS 2 Sim-to-Real Robot Control. URL: https://github.com/IFRA-Cranfield/ros2_SimRealRobotControl.

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Contact

Mikel Bueno Viso - Research Assistant in Intelligent Automation at Cranfield University
E-mail: [email protected]
LinkedIn: https://www.linkedin.com/in/mikel-bueno-viso/
Profile: https://www.cranfield.ac.uk/people/mikel-bueno-viso-32884399

Dr. Seemal Asif - Lecturer in Artificial Intelligence and Robotics at Cranfield University
E-mail: [email protected]
LinkedIn: https://www.linkedin.com/in/dr-seemal-asif-ceng-fhea-miet-9370515a/
Profile: https://www.cranfield.ac.uk/people/dr-seemal-asif-695915

Professor Phil Webb - Professor of Aero-Structure Design and Assembly at Cranfield University
E-mail: [email protected]
LinkedIn: https://www.linkedin.com/in/phil-webb-64283223/
Profile: https://www.cranfield.ac.uk/people/professor-phil-webb-746415

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Acknowledgments

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