Taylor S. Clawson
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
Top Papers
- 1Spiking neural network (SNN) control of a flapping insect-scale robot50 citations · 2016
- 2Full Flight Envelope and Trim Map of Flapping-Wing Micro Aerial Vehicles15 citations · 2020
- 3An adaptive spiking neural controller for flapping insect-scale robots7 citations · 2017
- 4