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
Top Papers
- 1
- 2
- 3
- 4
- 5Risk-aware autonomous navigation4 citations · 2021
- 6
- 7Graduated automation for humanoid manipulation2 citations · 2016