Joshua Price
Papers
1
Total Citations
7
H-Index
1
About
Joshua Price is a control systems researcher whose work focuses on the intersection of nonlinear control theory and autonomous aerial robotics. His primary research areas include discrete-time sliding mode control, unmanned aerial vehicle (UAV) navigation, and simultaneous localization and mapping (SLAM) for challenging environments. Price’s most notable contribution is his 2022 paper on a nonlinear discrete-time sliding mode controller (DTSMC) for quadrotor UAVs, which integrates Hector SLAM to enable autonomous navigation in hostile settings, such as nuclear facilities. This work, which has garnered 7 citations, addresses the critical gap between theoretical control design and practical implementation for remote sensing missions. By developing a full position and attitude control framework suitable for real-world deployment, Price has advanced the feasibility of deploying autonomous aerial vehicles in dangerous, GPS-denied environments where human access is limited. His research demonstrates a commitment to solving real-world problems through rigorous control engineering, making his work particularly relevant for students and researchers interested in field robotics, nonlinear control, and autonomous systems operating under extreme conditions.
Research Focus
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Top Papers
- 1