Shawn Keshmiri
Papers
4
Total Citations
40
H-Index
3
About
Shawn Keshmiri is a leading researcher in autonomous unmanned aerial systems (UAS), with a focus on enabling safe, high-speed flight in complex, unstructured environments. His work bridges the critical gap between theoretical swarm control and practical flight validation. Keshmiri’s most significant contribution is the development of a novel collision and obstacle avoidance framework for fixed-wing UASs, reformulating classical artificial potential field methods to handle the high speeds and inertia of real aircraft—a challenge that has long limited autonomous operations. This work, validated through flight tests, has garnered 14 citations and represents a foundational step toward practical swarming. He has also advanced multi-agent collaborative control, addressing the complex aerodynamics and point-mass assumptions that plague many theoretical models, with his 2019 paper on the topic receiving 21 citations. Further demonstrating his impact on real-world implementation, Keshmiri has designed and flight-tested a lateral-directional Model Predictive Controller, leveraging modern onboard processing power to achieve adaptive, high-performance flight control. By consistently validating his algorithms in the field, Keshmiri is translating swarm theory into deployable, safe, and capable autonomous aircraft systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4