Archit Krishna Kamath
Papers
2
Total Citations
21
H-Index
2
About
Archit Krishna Kamath is a leading researcher in autonomous aerial robotics, specializing in vision-based control and nonlinear dynamics for multirotor systems. His work addresses critical challenges in visual servoing, where drones must track and interact with targets using camera feedback. Kamath’s most cited paper, “Vision Augmented 3 DoF Quadrotor Control using a Non-singular Fast-terminal Sliding Mode Modified Super-twisting Controller” (2021, 12 citations), introduces a novel model that fuses visual servoing and robot control into a single framework, drastically reducing onboard computational load. This eliminates the need for separate controllers, a major step toward efficient, real-time drone autonomy. His subsequent work, “Addressing target loss and actuator saturation in visual servoing of multirotors: A nonrecursive augmented dynamics control approach” (2024, 9 citations), tackles two persistent problems: target loss and actuator saturation. By proposing a nonrecursive augmented dynamics method, Kamath avoids the inverse Jacobian calculations that often destabilize traditional approaches. Together, these contributions demonstrate his impact in making visual servoing more robust and practical for real-world deployment. His research is essential reading for engineers and students working on drone control, computer vision, and nonlinear systems.
Research Focus
Key Achievements
Top Papers
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