J. B. Srivastava

Papers

Total Citations

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About

J. B. Srivastava’s research bridges the worlds of advanced robotics and pure mathematics, demonstrating a rare versatility that spans from practical engineering to abstract algebra. His work in robotic manipulation is exemplified by the influential paper “Bin Picking Using Manifold Learning” (2016), which applies geometric data analysis to solve the challenging industrial problem of automated bin picking—a contribution that has garnered steady attention from the robotics community. On the theoretical side, his chapter “Algebraic Structures and Applications” (2000) provides a foundational exposition of group theory and its far-reaching applications, from mathematics to real-world problem-solving. Both works have accumulated 4 citations each, reflecting their targeted yet lasting impact. Srivastava’s ability to move fluidly between the concrete demands of robotic grasping and the abstract beauty of algebraic structures marks him as a researcher who sees the deep connections between mathematical theory and practical innovation. His contributions offer valuable insights for students and researchers alike, whether they are building smarter robots or exploring the power of group-theoretic methods.