Effective Human-Robot Teaming to Advance Aviation Manufacturing

The NASA University-Led Initiative project, titled, Effective Human-Robot Teaming to Advance Aviation Manufacturing, aims to transform manufacturing processes in the commercial aviation industry that have been resistant to automation. These manual processes have become significant bottlenecks in an increasingly efficient and automated production pipeline, while posing significant risk to the health and safety of human workers. This project seeks to improve the efficiency and ergonomics of these manual processes through the process-centered development of a flexible human-robot collaboration platform that will provide skilled aviation technicians with intelligent assistance. The UW Robotics Team is developing this platform and its applications across a range of manufacturing processes that are central and critical to the aerospace industry.

In this project, the UW Robotics team has partnered with The Boeing Company to situate the research in commercial aviation processes and to facilitate technology transfer into the industry.

Image credit: Lufthansa Technik AG 

Human-Robot Teaming in Aircraft Maintenance. Credit: Lufthansa Technik AG

The Team

  • Bilge Mutlu

    Associate Professor

  • Michael Gleicher

    Professor

  • Robert Radwin

    Professor

  • Michael Zinn

    Professor

  • Mike Hagenow

    PhD Student

Sponsors

  • NASA Aeronautics

The Robot

  • UR5
    Learn more »
  • Skills
    Safe | High repeatability | Robust | Payload: 5 kg |

Publications

  1. Rakita, D., Mutlu, B., & Gleicher, M. (2017, March). A motion retargeting method for effective mimicry-based teleoperation of robot arms. In Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction (pp. 361-370). PDF
  2. Pearce, M., Mutlu, B., Shah, J., & Radwin, R. (2018). Optimizing makespan and ergonomics in integrating collaborative robots into manufacturing processes. IEEE Transactions on Automation Science and Engineering, 15(4), 1772-1784. PDF
  3. Subramani, G., Gleicher, M., & Zinn, M. (2018). Recognizing geometric constraints in human demonstrations using force and position signals. IEEE Robotics and Automation Letters, 3(2), 1252-1259. PDF
  4. Rakita, D., Mutlu, B., & Gleicher, M. (2018, June). RelaxedIK: Real-time Synthesis of Accurate and Feasible Robot Arm Motion. In Robotics: Science and Systems. PDF
  5. Rakita, D., Mutlu, B., & Gleicher, M. (2019, June). Remote Telemanipulation with Adapting Viewpoints in Visually Complex Environments. In Proceedings of the Robotics: Science and Systems. PDF
  6. Praveena, P., Subramani, G., Mutlu, B., & Gleicher, M. (2019, March). Characterizing Input Methods for Human-to-robot Demonstrations. In 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (pp. 344-353). IEEE. PDF


Project Images

UW NASA ULI Team
UW NASA ULI Team