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About

Shailendra V. Narayan is a robotics researcher focused on embedded control systems, motion planning, and autonomous mobile robots for smart city and industrial applications. His work centers on developing real-time, hardware-accelerated control architectures using field-programmable gate arrays (FPGAs) to achieve precise trajectory and stabilization for complex robotic platforms. Among his notable contributions is the design of a multiprocessor FPGA-based Lyapunov acceleration controller for dual-arm car-like robots, enabling coordinated multi-task execution. He also engineered a single-purpose processor for Segway acceleration feedback control, targeting urban mobility solutions, and proposed an autonomous hoverboard robot as a next-generation personal transporter for smart cities. Additionally, his research on vertically sliding revolute robotic arms applies Lyapunov-based control schemes to industrial pick-and-place tasks, emphasizing flexibility and precision. With over 15 citations across his most-cited papers—all published in 2022—Narayan’s work demonstrates a clear trajectory toward practical, embedded intelligence in robotics. His achievements highlight a commitment to bridging theoretical control theory with deployable hardware solutions, making him a promising voice in the fields of autonomous systems and cyber-physical design.