Namya Bagree
Papers
2
Total Citations
11
H-Index
2
About
Namya Bagree is a robotics researcher whose work bridges perception, control, and multi-robot coordination. Her primary research areas include 3D perception for mobile robots, autonomous navigation in human-centric environments, and distributed control for high-speed multi-robot systems. Bagree’s most impactful contribution is her work on "Fast Staircase Detection and Estimation using 3D Point Clouds with Multi-detection Merging for Heterogeneous Robots" (2023, 8 citations), which addresses a critical challenge in enabling robots to navigate multi-level buildings autonomously. This work provides a robust, real-time method for detecting and estimating staircases, a key capability for robots operating in complex indoor environments designed for humans. Her second highly cited paper, "Distributed Optimal Control Framework for High-Speed Convoys: Theory and Hardware Results" (2023, 3 citations), tackles the counterintuitive problem of maintaining tight formations at high speeds, offering both theoretical foundations and experimental validation. This work has practical implications for coordinated fleets in logistics, search-and-rescue, and autonomous transportation. Bagree’s research is notable for its emphasis on real-world deployment, combining algorithmic innovation with hardware implementation. Her work is particularly relevant for students and researchers interested in field robotics, autonomous navigation, and multi-agent systems, demonstrating how theoretical advances can translate into practical robotic capabilities.
Research Focus
Key Achievements
Top Papers
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