Barrett Dillow

University of Maryland, College Park

Papers

3

Total Citations

15

H-Index

2

About

Barrett Dillow is a pioneer in autonomous underwater robotics, with a career dedicated to advancing dexterous manipulation systems for extreme environments. His primary research focuses on the development of intelligent robotic manipulators and autonomous vision systems for deep-sea exploration and sampling. Dillow’s most significant contribution is the design and creation of the SAMURAI robotic manipulator, an electrically-driven system capable of autonomously sampling and retrieving specimens from the sea floor when mounted on an autonomous underwater vehicle (AUV). This work, detailed in his 2008 paper on deep-sea robotic manipulators (11 citations), integrates advanced end-effectors, trajectory planning, and target recognition strategies, and was validated during a polar exploration initiative. He further enhanced autonomous operation through the AVATAR vision system, enabling precise specimen recovery without human intervention. Beyond the ocean, Dillow has also explored human-machine interaction for space exploration, developing distributed architectures for cooperative EVA (extravehicular activity) tasks. His work bridges the gap between autonomous robotics and human-robot collaboration, laying the groundwork for future missions in both deep-sea and space environments.

Research Focus

Key Achievements

2
H-Index
3
Papers
15
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Development of a deep-sea robotic manipulator for autonomous sampling and retrieval
11 citations · 2008
📈 Most Prolific Year: 2008 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Maryland, College Park

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago