Shivam Bajpai

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About

Shivam Bajpai is an emerging researcher specializing in autonomous robotics and model-free control systems, with a particular focus on Extremum Seeking Control (ESC) and source-seeking algorithms for mobile robots. His work sits at the intersection of control theory and practical robotics, bridging rigorous theoretical developments with real-world experimental validation. Bajpai's most notable contributions center on advancing control-affine ESC systems, specifically developing a novel single-integrator framework featuring attenuating oscillations and improved convergence rates for source-seeking applications. This research addresses the challenging problem of guiding mobile robots to unknown signal sources without requiring an explicit mathematical model of the environment — a capability with significant implications for search-and-rescue, environmental monitoring, and autonomous navigation scenarios. His experimental validation work demonstrates a commendable commitment to translating theoretical innovations into deployable robotic systems. While still in the early stages of his research career, Bajpai's publications have already accumulated citations across both 2023 and 2024, reflecting growing community interest in his contributions. His work positions him as a promising voice in the robotics and control systems community, particularly for researchers exploring gradient-free optimization and autonomous agent navigation.