Raghvendra V. Cowlagi
Massachusetts Institute of Technology, Worcester Polytechnic Institute, Georgia Institute of Technology
Papers
8
Total Citations
126
H-Index
5
About
Raghvendra V. Cowlagi is a leading researcher in autonomous mobile robotics, specializing in hierarchical motion planning, trajectory optimization, and multi-vehicle coordination. His work bridges the critical gap between high-level task specifications and low-level vehicle dynamics, ensuring that autonomous systems—from aerial drones to terrestrial robots—can execute complex missions with guaranteed feasibility and safety. Cowlagi’s seminal 2011 paper on hierarchical motion planning with dynamical feasibility guarantees (69 citations) established a foundational framework for reconciling logical task satisfaction with real-world kinematic constraints. He further advanced the field by addressing curvature-bounded traversability for narrow passages (20 citations) and extending motion planning to teams of nonholonomic vehicles governed by temporal logic specifications. His recent work on decentralized route-planning and mobile sensing in unknown environments demonstrates ongoing impact, with applications in collaborative surveillance and exploration. With over 120 total citations across his most influential publications, Cowlagi’s contributions are essential reading for researchers and students working at the intersection of control theory, robotics, and formal methods. His hierarchical approach continues to shape how autonomous vehicles plan and execute missions in complex, dynamic environments.
Research Focus
Key Achievements
Top Papers
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- 3Hierarchical motion planning for autonomous aerial and terrestrial vehicles14 citations · 2011
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