Jon Meyer

About

Jon Meyer is a pioneering researcher in the intersection of industrial robotics, cloud computing, and advanced networking. His work focuses on enabling geographically unconstrained, real-time control of industrial robots through the integration of software-defined networking (SDN), edge computing, and high-speed optical transport networks. Meyer’s major contributions include the first demonstration of remote industrial robot control for surface blending over multi-domain SDN-based networks, proving that cloud and edge computing can significantly enhance robot controllability and performance. His most-cited paper, "An Industrial Robotics Application with Cloud Computing and High-Speed Networking" (2017, 19 citations), details a distributed cloud robotics system using ROS libraries to execute surface blending tasks across wide-area networks. A subsequent study (2016, 10 citations) further validated the feasibility of geographically unconstrained robot operation. Meyer’s work has laid critical groundwork for scalable, networked robotic systems, with potential applications in manufacturing, teleoperation, and Industry 4.0. His achievements highlight the transformative role of cloud and network technologies in overcoming traditional limitations of industrial automation.

Research Focus

Key Achievements

Top Papers

1. 1
   An Industrial Robotics Application with Cloud Computing and High-Speed Networking

   19 citations · 2017
2. 2
   First demonstration of geographically unconstrained control of an industrial robot by jointly employing SDN-based optical transport networks and edge compute

   10 citations · 2016

Key Collaborators

Contact & Links