K R Jayasree
Papers
3
Total Citations
45
H-Index
3
About
K R Jayasree is a researcher whose work bridges the critical domains of autonomous robotics and artificial intelligence, with a particular focus on dynamic path planning and human-computer interaction. Her most significant contributions lie in developing advanced trajectory planning techniques for mobile robots. She pioneered the use of Smoothed Rapidly exploring Random Tree (RRT) and Smoothed Bidirectional RRT algorithms, enabling car-like robots to efficiently track moving targets while dynamically avoiding obstacles in both static and changing environments. Her foundational paper on "Dynamic target tracking using a four wheeled mobile robot with optimal path planning technique" (2017) has garnered 17 citations, while her companion work on "Smoothed RRT techniques for trajectory planning" (2017) has earned 16 citations, establishing her as a key contributor to the field of autonomous navigation. Demonstrating versatility, Jayasree has also ventured into applied AI with her 2023 work "An Interactive Interview Bot for Human Resource Interviewing" (12 citations), which addresses recruitment challenges by automating candidate screening and communication. This cross-disciplinary impact—from kinematic modeling to conversational agents—highlights her ability to solve real-world problems through innovative computational approaches.
Research Focus
Key Achievements
Top Papers
- 1
- 2Smoothed RRT techniques for trajectory planning16 citations · 2017
- 3An Interactive Interview Bot for Human Resource Interviewing12 citations · 2023