Sivayazi Kappagantula
Defence Institute of Advanced Technology, Manipal Academy of Higher Education
Papers
3
Total Citations
13
H-Index
3
About
Sivayazi Kappagantula is a robotics researcher whose work bridges biomimetic design, autonomous navigation, and precision agriculture. Their key research areas include bio-inspired underwater robotics, reinforcement learning for mobile robot path planning, and legged robots for agricultural applications. Kappagantula’s major contributions include the design of a biomimetic robot fish that uses a fuzzy logic algorithm for autonomous obstacle avoidance, addressing the limitations of conventional AUVs in deep-sea exploration. They have also developed a novel dynamic path planning algorithm leveraging Markov Decision Processes for efficient navigation in unfamiliar terrain, and designed a quadruped robot based on Jansen mechanisms for precision agriculture. With over 13 citations across their most-cited works, Kappagantula’s research demonstrates practical impact in real-world robotics challenges. Their work on the biomimetic robot fish (5 citations) and the quadruped robot for agriculture showcases a commitment to solving complex environmental and food security problems through innovative robotic systems. Kappagantula’s interdisciplinary approach—combining control architecture, reinforcement learning, and mechanical design—positions them as a promising contributor to the next generation of autonomous systems.
Research Focus
Key Achievements
Top Papers
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