Christoforos Kanellakis
Papers
48
Total Citations
689
H-Index
13
About
Christoforos Kanellakis is a prominent robotics researcher specializing in autonomous aerial and multi-modal robotic systems, with particular expertise in navigation, mapping, and exploration in GPS-denied and extreme environments. His work spans subterranean robotics, micro aerial vehicles (MAVs), and collaborative multi-robot systems, with a strong emphasis on real-world deployment in challenging conditions such as underground mines, tunnels, and urban disaster scenarios. Kanellakis made significant contributions to the DARPA Subterranean Challenge as a member of TEAM CoSTAR, co-authoring the NeBula framework papers that collectively describe the award-winning autonomy architecture behind the team's Phase II victory — work that has garnered over 150 citations combined. His research on deploying MAVs in dark underground environments (91 citations) and multi-sensor LiDAR odometry through the LOCUS system demonstrates his focus on robust, real-time localization and 3D mapping. He has also advanced multi-modal legged-aerial robotics for search-and-rescue applications and pioneered autonomous infrastructure inspection, including wind turbine surveying using aerial robots. Across his portfolio, Kanellakis consistently bridges theoretical algorithm development with field-hardened, deployable robotic solutions that address critical real-world challenges.
Research Focus
Key Achievements
Top Papers
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- 5Towards Autonomous Surveying of Underground Mine Using MAVs33 citations · 2018
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- 7Cooperative coverage for surveillance of 3D structures26 citations · 2017
- 8Evaluation of Lidar-based 3D SLAM algorithms in SubT environment23 citations · 2022
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- 10Dataset collection from a SubT environment21 citations · 2022