Shyam Krishan Joshi
Indian Institute of Technology Delhi, Indian Institute of Technology Jodhpur
Papers
2
Total Citations
13
H-Index
2
About
Shyam Krishan Joshi is a researcher whose work bridges the frontiers of nonlinear dynamics and multi-robot coordination. His primary research areas include synchronization theory, control systems, and autonomous multi-agent systems. Joshi’s most impactful contribution, “Synchronization of Master-Slave Oscillators: Analysis and Experimental Results” (2020, 8 citations), provides foundational insights into how master oscillators transmit instructions to slave oscillators—a behavior critical to understanding biological circuits, neuronal networks, and robotic systems. This work has been cited by peers exploring complex coupled systems. In a second key study, “Segregation of Multiple Robots Using Model Predictive Control With Asynchronous Path Smoothing” (2022, 5 citations), Joshi tackles the challenge of collision-free segregation in multi-robot teams. He proposes a novel Model Predictive Control framework that handles asynchronous disturbances, enabling robots to dynamically regroup for collaborative tasks. This contribution is particularly notable for its practical applications in swarm robotics and distributed automation. With a growing citation record, Joshi’s research demonstrates a clear trajectory from theoretical oscillator dynamics to applied multi-robot control, marking him as an emerging voice in the intersection of control theory and robotics.
Research Focus
Key Achievements
Top Papers
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