Thambipillai Srikanthan
Papers
9
Total Citations
59
H-Index
4
About
Thambipillai Srikanthan is a leading researcher at the forefront of hardware-accelerated robotics, specializing in the intersection of field-programmable gate arrays (FPGAs), sensor fusion, and autonomous navigation. His work is defined by a commitment to creating efficient, real-time hardware schemes that solve complex problems in indoor mobile robotics, from dynamic path planning and obstacle avoidance to parking assistance and multi-robot coordination. A cornerstone of his research is the development of novel algorithms—such as adaptive grid mapping and visibility graph construction—that are translated into low-complexity, high-speed hardware architectures, enabling smarter and more responsive robotic systems. His most-cited paper, "High-Speed Environment Representation Scheme for Dynamic Path Planning" (2001), has garnered 18 citations, while his work on "Enhanced low-complexity pruning for corner detection" (2014) has been cited 16 times, reflecting a sustained impact on the field. In 2024, Srikanthan published two highly topical papers on geometry-based parking assistance and FPGA-based multi-robot backing crash prevention, each receiving 5 citations, demonstrating his continued relevance in addressing pressing real-world challenges. His contributions also extend to medical robotics, with work on efficient architectures for endoscopic image segmentation in micro-robotic auto-navigation systems, showcasing the breadth of his expertise.
Research Focus
Key Achievements
Top Papers
- 1High-Speed Environment Representation Scheme for Dynamic Path Planning18 citations · 2001
- 2Enhanced low-complexity pruning for corner detection16 citations · 2014
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- 8A rotation-invariant embedded pattern recognition system3 citations · 2003
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