Daksh Shukla
Papers
3
Total Citations
37
H-Index
2
About
Daksh Shukla is a researcher specializing in autonomous systems, multi-agent coordination, and collision avoidance for fixed-wing unmanned aerial systems (UASs). His work addresses critical challenges in deploying high-speed, high-inertia aircraft swarms in unstructured environments—a domain where practical assumptions often fall short. Shukla’s major contributions include reformulating classical artificial potential field methods to enable real-time collision and obstacle avoidance for fixed-wing UASs, validated through flight tests. His most-cited paper, “Control of Multi-Agent Collaborative Fixed-Wing UASs in Unstructured Environment” (2019), has garnered 21 citations, reflecting its impact on advancing swarm robotics beyond point-mass models. A related 2018 study on morphing potential fields for high-speed avoidance earned 14 citations, highlighting his innovative approach to overcoming aerodynamic constraints. Shukla’s work bridges theory and application, offering scalable solutions for autonomous aerial missions in complex settings. His research is pivotal for students and engineers seeking robust, real-world frameworks for multi-agent UAS control, emphasizing the transition from idealized simulations to validated flight performance.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3