Karan Sridharan
Papers
2
Total Citations
28
H-Index
2
About
Karan Sridharan is a researcher specializing in autonomous robotics, with a focus on coverage path planning (CPP) and dynamical systems for online terrain exploration. His work addresses the critical challenge of enabling robots to efficiently and unpredictably navigate unknown environments, particularly for surveillance and search missions. Sridharan’s most notable contribution is his "Multi-System Chaotic Path Planner," which leverages chaotic dynamics to generate fast, unpredictable trajectories for comprehensive terrain coverage. This approach, detailed in his 2020 paper (21 citations), enhances the effectiveness of random-like search algorithms in finding objects of interest without prior maps. He further advanced this field with his 2022 study on "Online Search of Unknown Terrains Using a Dynamical System-Based Path Planning Approach" (7 citations), demonstrating practical implementations for real-time robotic navigation. By integrating chaos theory with path planning, Sridharan has opened new avenues for autonomous systems in exploration, surveillance, and disaster response. His work stands out for its innovative fusion of theoretical dynamics and applied robotics, offering scalable solutions for robots operating in unstructured, unpredictable environments.
Research Focus
Key Achievements
Top Papers
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