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About

P. R. Jayasree is a robotics researcher whose work sits at the intersection of autonomous navigation and medical robotics. Her primary research focuses on trajectory planning and dynamic target tracking for mobile robots, particularly car-like platforms operating in cluttered, obstacle-rich environments. She is best known for developing smoothed variants of the Rapidly exploring Random Tree (RRT) algorithm—including Smoothed RRT and Smoothed Bidirectional RRT—which enable robots to track moving targets efficiently while avoiding both static and dynamic obstacles. These contributions, detailed in her two most-cited papers (with 17 and 16 citations respectively), have advanced the practical deployment of autonomous ground vehicles in real-world scenarios. Jayasree has also explored the domain of Minimally Invasive Robotic Surgery (MIRS), investigating needle selection and fuzzy-based control for suturing force calculation—work that underscores her interest in precision and human-robot collaboration. Her research demonstrates a clear commitment to bridging algorithmic innovation with tangible robotic applications, from factory floors to operating rooms.