Papers

7

Total Citations

37

H-Index

4

About

Steven Gray’s research spans robotics, autonomous navigation, and biomedical imaging, with a focus on creating systems that operate safely and effectively alongside humans. He is best known for his work on human-guided autonomy, where he developed architectures that balance autonomous execution with human oversight—a key contribution demonstrated through Team TROOPER at the DARPA Robotics Challenge Finals (2017, 7 citations). His early work on reconfiguring modular robots (2010, 6 citations) and planning for complex tasks like navigating spring-loaded doors (2013, 7 citations) laid the groundwork for later advances in risk-aware autonomous navigation (2021, 4 citations), which addresses the challenge of operating in uncertain, high-stakes environments such as battlefields. More recently, Gray has pioneered the use of photoacoustic imaging for medical diagnostics, co-developing an automatic 3-D ultrasound and photoacoustic system for detecting human inflammatory arthritis (2023, 8 citations)—a point-of-care device aimed at transforming rheumatology clinics. His work bridges robotics and medicine, consistently emphasizing practical, real-world deployment. With over 30 citations across his most influential papers, Gray’s research demonstrates a rare ability to tackle both fundamental engineering challenges and pressing clinical needs.

Research Focus

Key Achievements

4
H-Index
7
Papers
37
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
An Automatic 3-D Ultrasound and Photoacoustic Combined Imaging System for Human Inflammatory Arthritis
8 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 35
🏛 Institutions: General Electric (United States), Lockheed Martin (United States), University of Pennsylvania

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago