K Anusha
Papers
2
Total Citations
9
H-Index
2
About
K. Anusha is a researcher focused on advancing autonomous navigation and path planning for robotic systems, particularly in smart indoor and industrial environments. Her work centers on developing hardware-efficient algorithms that enable robots to navigate complex spaces, solve the Traveling Salesman Problem (TSP), and coordinate multi-robot systems with behavioral control. A key contribution is her versatile autonomous navigation algorithm, implemented on FPGA-based robots, which optimizes path planning while minimizing hardware resource usage. This work, published in 2017, has garnered 5 citations and demonstrates practical applications for robotic assistive systems (RAS) in assisting human needs. Her earlier 2016 paper, with 4 citations, addresses multi-robot path planning challenges, offering a hardware-amenable solution for industrial services. Anusha’s research bridges the gap between theoretical algorithms and real-world deployment, emphasizing efficiency and scalability. Her achievements highlight a commitment to creating robust, adaptable robotic solutions that enhance automation in indoor settings, making her contributions valuable for students and researchers exploring embedded systems, robotics, and intelligent navigation.
Research Focus
Key Achievements
Top Papers
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- 2