Graylin Jay
Papers
8
Total Citations
489
H-Index
7
About
Graylin Jay is a robotics researcher whose work sits at the intersection of human-robot interaction, web-based robotics infrastructure, and learning from demonstration (LfD). Best known for the influential Rosbridge project — which has accumulated over 200 citations — Jay helped democratize access to the Robot Operating System (ROS) by enabling non-specialist users to interact with robots through standard web technologies. This contribution, further elaborated in work on rosjs and ROS and Rosbridge, fundamentally expanded the audience for robotic applications by treating robots as accessible web services. A significant thread of Jay's research explores how robots can learn control policies from human teleoperation data, including novel approaches to handling the multi-valued, time-series nature of such demonstrations. Jay also pioneered remote robotic laboratory infrastructure, most notably the PR2 Remote Lab, which broadened participation in cutting-edge robotics research by allowing distributed teams to share and reproduce experiments online. This commitment to reproducibility and accessibility runs consistently across Jay's portfolio. With a body of work that has collectively garnered nearly 500 citations, Jay's contributions have meaningfully shaped how researchers build, share, and teach robotic systems in an increasingly connected world.
Research Focus
Key Achievements
Top Papers
- 1Rosbridge: ROS for Non-ROS Users201 citations · 2016
- 2Human and robot perception in large-scale learning from demonstration56 citations · 2011
- 3
- 4ROS and Rosbridge53 citations · 2012
- 5PR2 Remote Lab: An environment for remote development and experimentation46 citations · 2012
- 6
- 7Remote Robotic Laboratories for Learning from Demonstration31 citations · 2012
- 8