Papers
9
Total Citations
104
H-Index
6
About
Brian K. Taylor is a robotics researcher whose work bridges bioinspiration, simulation, and multi-domain mobility. His key research areas include robot simulation, bioinspired control, and autonomous navigation—particularly for aerial and terrestrial vehicles. Taylor’s most impactful contribution is the design and validation of the Whegs robot within the USARSim simulation environment (36 citations), demonstrating how virtual domains can serve as safe, effective training and testing tools for robotic systems. He also advanced motion planning for autonomous aerial vehicles, applying robot planning techniques to compute ingress paths for UAVs and cruise missiles in multiobjective optimization tasks (21 citations). In bioinspired robotics, Taylor investigated descending commands to insect leg controller networks, revealing how smooth behavioral transitions can inform more agile robot control (15 citations). His more recent work explores bioinspired magnetic navigation, using magnetic signatures as waypoints—a novel approach at the intersection of engineering and biology. Taylor’s research is notable for its interdisciplinary reach, from simulation benchmarking to biologically abstracted control, and for its practical implications in training, safety, and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Design and validation of a Whegs robot in USARSim36 citations · 2007
- 2Motion planning for reduced observability of autonomous aerial vehicles21 citations · 2003
- 3
- 4A Miniature Vehicle with Extended Aerial and Terrestrial Mobility7 citations · 2009
- 5Analysis and benchmarking of a Whegs™ robot in USARSim6 citations · 2008
- 6Bioinspired Magnetic Navigation Using Magnetic Signatures as Waypoints6 citations · 2017
- 7
- 8
- 9Engineered and Bioinspired Magnetic Navigation3 citations · 2017