Ben Kehoe
Papers
9
Total Citations
1,660
H-Index
9
About
Ben Kehoe is a robotics researcher whose work spans cloud robotics, robot grasping, and surgical automation — fields where his contributions have proven both timely and transformative. He is perhaps best known for helping define and systematize the concept of cloud robotics, co-authoring the landmark 2015 survey "A Survey of Research on Cloud Robotics and Automation," which has accumulated over 826 citations and remains a foundational reference in the field. His research envisions robots liberated from the constraints of onboard computation by leveraging internet-scale resources, a vision he helped translate into practice through cloud-based grasping systems, including work with Google's object recognition engine (228 citations). Kehoe has also made significant strides in surgical robotics, developing autonomous systems capable of performing delicate subtasks such as tissue cutting and debridement using platforms like the da Vinci Research Kit and Raven robot. These contributions, cited over 300 times collectively, address real clinical challenges such as surgeon fatigue and remote surgery. His application of Gaussian Process methods to shape uncertainty and cable-driven robot control further demonstrates a sophisticated, probabilistic approach to robotic manipulation. Across his body of work, Kehoe consistently bridges theoretical rigor with practical robotic systems.
Research Focus
Key Achievements
Top Papers
- 1A Survey of Research on Cloud Robotics and Automation826 citations · 2015
- 2Cloud-based robot grasping with the google object recognition engine228 citations · 2013
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- 4Autonomous multilateral debridement with the Raven surgical robot121 citations · 2014
- 5Cloud Robotics and Automation: A Survey of Related Work84 citations · 2013
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