Taylor S. Clawson

Cornell University

Papers

4

Total Citations

77

H-Index

4

About

Taylor S. Clawson is a pioneering researcher in bio-inspired robotics, specializing in the control and dynamics of flapping-wing micro aerial vehicles (FWMAVs) at insect scale. Their most significant contribution is the development of spiking neural network (SNN) controllers for the RoboBee—the first robot to achieve controlled insect-scale flight, with 50 citations for their foundational 2016 work. Clawson demonstrated that SNNs can stabilize these fast-dynamics robots despite manufacturing asymmetries and unmodeled parameter variations, enabling controlled hover, trajectory-following, and perching. Their 2020 paper on full flight envelope and trim mapping (15 citations) provided a comprehensive framework for understanding the agile maneuvers of minimally actuated FWMAVs, while their blade element aerodynamic model (2017) advanced simulation fidelity by accounting for body motion. Clawson’s work bridges neuroscience-inspired computing and micro-robotics, addressing critical challenges in stabilization and control for sub-gram robots. Their research has direct implications for environmental monitoring, search-and-rescue, and autonomous navigation in confined spaces, making them a leading figure in the emerging field of insect-scale aerial robotics.

Research Focus

Key Achievements

4
H-Index
4
Papers
77
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Spiking neural network (SNN) control of a flapping insect-scale robot
50 citations · 2016
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Cornell University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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