Papers
24
Total Citations
2,041
H-Index
16
About
Kartik Mohta is a prominent robotics researcher whose work spans autonomous aerial systems, motion planning, and multi-robot coordination. He has made foundational contributions to the field of quadrotor navigation, particularly in developing algorithms that enable unmanned aerial vehicles to fly safely and efficiently in complex, GPS-denied environments. Mohta's most celebrated contribution — his 2017 paper on planning dynamically feasible trajectories using safe flight corridors (537 citations) — introduced an elegant convex optimization framework for generating smooth polynomial trajectories for quadrotors navigating cluttered 3D spaces. Complementing this, his search-based motion planning approaches, including methods operating in SE(3), pushed the boundaries of aggressive, high-speed quadrotor flight. His 2017 work on fast autonomous flight in GPS-denied environments (196 citations) demonstrated tight integration of perception and control under real-world constraints. Beyond individual robots, Mohta has advanced multi-robot systems, contributing to collaborative earthquake-damage mapping using ground and aerial robots (379 citations) and scalable goal-assignment algorithms for large robot teams. His vision-based perching work further demonstrates versatility across perception and control. With over 1,800 cumulative citations, Mohta's research has meaningfully shaped modern autonomous aerial robotics, offering both theoretical rigor and practical system-level insights.
Research Focus
Key Achievements
Top Papers
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- 4Fast, autonomous flight in GPS‐denied and cluttered environments196 citations · 2017
- 5Search-Based Motion Planning for Aggressive Flight in SE(3)155 citations · 2018
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- 8Experiments in Fast, Autonomous, GPS-Denied Quadrotor Flight54 citations · 2018
- 9Goal Assignment and Trajectory Planning for Large Teams of Aerial Robots45 citations · 2013
- 10Vision-based control of a quadrotor for perching on lines41 citations · 2014