Kevin Kelly
Papers
16
Total Citations
280
H-Index
9
About
Kevin Kelly is a leading roboticist whose work sits at the intersection of advanced manipulation, social assistive robotics, and human-robot interaction. His research is driven by a central question: how can robots perform complex, dexterous tasks in unstructured human environments? His most influential work, "Comparative Peg-in-Hole Testing of a Force-Based Manipulation Controlled Robotic Hand" (102 citations), provides a critical benchmark for quantifying progress in fine manipulation—a cornerstone for modern manufacturing automation. Kelly’s impact extends beyond the factory floor; he is the driving force behind "Stevie," a socially assistive robot designed using a "design-thinking" approach (46 citations), demonstrating a human-centered philosophy for developing robots that support disabled and elderly populations. He has also pioneered frameworks for assessing robotic dexterity in flexible manufacturing and for controlling robots in domestic settings. With recent work exploring the intersection of machine learning and advanced manipulation (35 citations), Kelly continues to shape the future of robots that are not only capable, but also intuitive and helpful in our daily lives.
Research Focus
Key Achievements
Top Papers
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- 3Machine learning meets advanced robotic manipulation35 citations · 2024
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- 5Design of a terrain adaptive wheeled robot for human-orientated environments15 citations · 2018
- 6A human-oriented framework for developing assistive service robots13 citations · 2017
- 7Towards the design of a new humanoid robot for domestic applications12 citations · 2014
- 8Framework for Assessing Robotic Dexterity within Flexible Manufacturing10 citations · 2017
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