Papers

19

Total Citations

232

H-Index

8

About

Somasundar Kannan’s research lies at the intersection of swarm robotics, autonomous aerial manipulation, and intelligent control systems. His pioneering work on UAV swarms introduces a novel Chaotic Ant Colony with Model Predictive Control (CACOC) mobility model, which uses chaotic dynamics to enhance collision avoidance and area exploration—a foundational contribution cited over 90 times. Kannan also advanced aerial manipulation by developing operational space control for quadrotors with attached robotic arms, addressing the complex coupling dynamics that hinder precision. His practical contributions include a widely referenced testbed for vision-based UAV control using V-REP and ROS, enabling rapid prototyping for aerial inspection tasks. Beyond aerial systems, Kannan has explored lightweight robotic arms actuated by shape memory alloy wires, offering a path to lighter, more dexterous manipulators for aerial and space applications. His work on model predictive cooperative localization and control of multiple UAVs, as well as cooperative space robots, demonstrates a sustained focus on coordinated autonomy. With over 200 total citations and recent work extending into full autonomy for underwater robotics, Kannan’s research continues to shape the future of autonomous multi-robot systems across air, space, and sea.

Research Focus

Key Achievements

8
H-Index
19
Papers
232
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Collision Avoidance Effects on the Mobility of a UAV Swarm Using Chaotic Ant Colony with Model Predictive Control
64 citations · 2018
📈 Most Prolific Year: 2016 (6 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: University of Luxembourg, Recherches Scientifiques Luxembourg, Robert Gordon University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago