Kelleher Guerin
Papers
7
Total Citations
309
H-Index
5
About
Kelleher Guerin is a leading researcher in human-robot collaboration, with a focus on making advanced robotics accessible to non-experts. His primary research areas include end-user robot programming, collaborative manufacturing, and semi-autonomous teleoperation. Guerin’s most impactful contribution is the CoSTAR system (170 citations), which enables users without robotics expertise to instruct collaborative robots using behavior trees and vision, dramatically lowering the barrier to automation. He also developed a framework for end-user instruction of robot assistants in small manufacturing enterprises (99 citations), addressing the critical need for flexible, cost-effective automation in SMEs. His earlier work on sensor- and sampling-based motion planning for minimally invasive surgical exploration demonstrates his versatility, applying robotics to orthopedic surgery. Guerin’s Adjutant framework (22 citations) further advances flexible human-machine collaboration, while his research on semi-autonomous teleoperation aims to create systems that understand user intent. Through these contributions, Guerin has established himself as a key figure in democratizing robotics, empowering non-specialists to harness robotic automation across manufacturing, healthcare, and beyond.
Research Focus
Key Achievements
Top Papers
- 1CoSTAR: Instructing collaborative robots with behavior trees and vision170 citations · 2017
- 2A framework for end-user instruction of a robot assistant for manufacturing99 citations · 2015
- 3Adjutant: A framework for flexible human-machine collaborative systems22 citations · 2014
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- 7ReachIN: A Modular Vision Based Interface for Teleoperation2 citations · 2010