Sivaranjini Srikanthakumar
Papers
2
Total Citations
12
H-Index
2
About
Sivaranjini Srikanthakumar’s research focuses on the safety-critical intersection of robotics, control systems, and optimization, with a particular emphasis on obstacle avoidance for autonomous vehicles. Her work addresses the fundamental challenge of ensuring reliable navigation in dynamic, uncertain environments. Her most impactful contribution, the 2014 paper “Worst-case analysis of moving obstacle avoidance systems for unmanned vehicles,” has garnered 7 citations and introduces novel optimization-based algorithms to systematically search for worst-case scenarios, thereby rigorously verifying system robustness. This builds on her earlier 2011 study, “Optimisation-based verification process of obstacle avoidance systems for unicycle-like mobile robots” (5 citations), which established a formal verification framework for nonholonomic robots. By applying optimization techniques to safety verification, Srikanthakumar has provided engineers with powerful tools to guarantee performance before deployment, a critical step for real-world autonomous systems. Her work is particularly notable for bridging theoretical worst-case analysis with practical implementation, offering a rigorous yet applicable methodology that continues to inform the design of safer unmanned vehicles.
Research Focus
Key Achievements
Top Papers
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- 2