Skip to content

This repository provides advanced motion planning in ROS for KUKA robots in Additive Manufacturing applications.

Notifications You must be signed in to change notification settings

Davidlequnchen/KUKA-ROS-AM-Advanced-Motion-Planning

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 

Repository files navigation

KUKA-ROS-AM-Advanced-Motion-Planning

This repository provides advanced motion planning in ROS for KUKA robots in Additive Manufacturing applications. It integrates ROS and MoveIt! for precise control, focusing on the unique challenges of additive manufacturing processes.


📺 Video Demo: KUKA Robot Control through ROS and MoveIt!

Watch the video
Watch on YouTube: KUKA Robot Advanced Motion Planning for Additive Manufacturing

This video demonstrates the control of a KUKA robot using ROS and MoveIt! motion planning for additive manufacturing applications.


🚀 Installation and Requirements

  • Operating System: Ubuntu 20.04
  • ROS Distribution: ROS Noetic
  • Additional Dependencies:
    • MoveIt! motion planning framework
    • KUKA Robot Support Packages

Follow the repository setup instructions to install the necessary dependencies and configure your ROS workspace.


📚 Reference and Acknowledgement

  1. Advanced Manipulation Package:
    This part of the code is modified from the following GitHub repository and paper:

    • GitHub: Advanced Manipulation MoveIt
    • Paper: Malvido Fresnillo, P., Vasudevan, S., Mohammed, W. M., Martinez Lastra, J. L., & Perez Garcia, J. A. (2023). Extending the motion planning framework—MoveIt with advanced manipulation functions for industrial applications. Robotics and Computer-Integrated Manufacturing, 83, 102559. DOI:10.1016/j.rcim.2023.102559
  2. Other References:

    • Chen, L., Yao, X., Xu, P., Moon, S.K., Bi, G., 2021. Rapid surface defect identification for additive manufacturing with in-situ point cloud processing and machine learning. Virtual and Physical Prototyping, 16, 50–67. DOI:10.1080/17452759.2020.1832695
    • Xu, P., Yao, X., Chen, L., Zhao, C., Liu, K., Moon, S.K., & Bi, G., 2022. In-process adaptive dimension correction strategy for laser-aided additive manufacturing using laser line scanning. Journal of Materials Processing Technology, 303, 117544. DOI:10.1016/j.jmatprotec.2022.117544
  3. Contributors to the repository: Jeevadithyan Pommiah Sivakumar, Chen Lequn

About

This repository provides advanced motion planning in ROS for KUKA robots in Additive Manufacturing applications.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published