Papers
2
Total Citations
57
H-Index
2
About
Y. Ravi Kiran is a robotics researcher whose work bridges theoretical dynamics and practical autonomous systems. His primary research areas include parallel manipulator control, multi-agent path planning, and autonomous navigation. Kiran’s most significant contribution is the development of inverse dynamics and control strategies for a 3-DOF planar parallel (U-shaped 3-PPR) manipulator, a study that has garnered 49 citations and advanced the precision control of parallel robotic architectures. In a notably innovative project, he designed and implemented a novel weighted shortest path algorithm for maze-solving robots in a multi-agent environment. This work, with 8 citations, introduces a collaborative approach where robot agents, initially unaware of the maze, learn and share discoveries through a shared memory system, enabling efficient labyrinth exploration. Kiran’s research demonstrates a unique ability to combine rigorous analytical methods with creative, real-world problem-solving, making his work valuable for students and researchers interested in the intersection of kinematics, control theory, and distributed robotics.
Research Focus
Key Achievements
Top Papers
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