Spencer Folk
Papers
4
Total Citations
28
H-Index
4
About
Spencer Folk is a robotics researcher whose work spans aerial autonomy, bio-inspired systems, and morphing vehicle design. His research focuses on enabling safer and more efficient flight for autonomous aerial vehicles in complex environments. Folk’s most impactful contribution is developing methods for learning local urban wind flow fields from range sensing, a critical challenge for urban airspace navigation that has already garnered 8 citations. He also created RotorPy, a Python-based multirotor simulator designed as an accessible educational and research tool for estimation and planning concepts, also with 8 citations. In a notable interdisciplinary study, Folk investigated how archerfish respond to a hunting robotic conspecific, bridging robotics and animal behavior. His work on the Bistable Aerial Transformer (BAT) robot—a quadrotor fixed-wing hybrid that morphs dynamically via a passive soft mechanism—demonstrates innovative approaches to multi-modal flight. With a total of 28 citations across his most cited papers, Folk is establishing himself as a versatile researcher at the intersection of aerial robotics, simulation, and bio-inspired design.
Research Focus
Key Achievements
Top Papers
- 1Learning Local Urban Wind Flow Fields From Range Sensing8 citations · 2024
- 2
- 3Archerfish respond to a hunting robotic conspecific7 citations · 2021
- 4