N. Ranganathan
Papers
9
Total Citations
96
H-Index
5
About
N. Ranganathan’s research career has been defined by pioneering contributions to robotics, spatial data analysis, and VLSI architectures for vision. His work spans three interconnected domains: multi-robot systems, path planning, and hardware acceleration for pattern recognition. Ranganathan introduced the **trulla algorithm** for near-optimal path planning among weighted regions, a localized wavefront propagation method that became foundational for mobile robot navigation. He later extended this into a parallel algorithm and architecture, addressing the computational intensity of real-time path planning. In multi-robot coordination, he developed a microeconomic approach to team formation and a model for determining sensor confidence in unknown environments—critical for search-and-rescue missions. His earlier work on VLSI architectures for pattern matching and polygon recognition laid groundwork for high-speed computer vision hardware. Across his most-cited papers, Ranganathan’s work has garnered over 96 citations, with his 2009 game-theoretic approach to spatial data set compaction and equipartitioning receiving 31 citations. His research uniquely bridges algorithmic theory, hardware design, and practical robotics, making lasting contributions to autonomous systems and intelligent sensing.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3A parallel algorithm and architecture for robot path planning14 citations · 2002
- 4VLSI ARCHITECTURES FOR PATTERN MATCHING12 citations · 1994
- 5A model for determining sensor confidence7 citations · 2002
- 6A microeconomic approach to multi-robot team formation5 citations · 2007
- 7MODELING SENSOR CONFIDENCE FOR SENSOR INTEGRATION TASKS3 citations · 1994
- 8VLSI architectures for high-speed range estimation2 citations · 1995
- 9PMAC: A POLYGON MATCHING CHIP2 citations · 1995