Srinivas Maddukuri

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About

Srinivas Maddukuri is a researcher advancing the frontiers of human-robot collaboration and intuitive robot programming. His work centers on Programming by Demonstration (PbD), a paradigm that dramatically reduces the complexity of teaching robots new skills. Maddukuri’s key contribution lies in parameterizing complex industrial tasks—such as screwing process macros—using instrumented tools, enabling robots to learn from human demonstration rather than requiring tedious, text-based coding. His most cited paper, “Instrumented Tool based Robot Programming - Parameterization of Screwing Process Macros” (2019, 7 citations), exemplifies this approach by bridging low-level skill representation with practical manufacturing needs. In his related work “FlexRoP – flexible, assistive robots for customized production” (2018, 5 citations), Maddukuri addresses the critical challenge of making collaborative robots both safe and easy to program for flexible manufacturing environments. By tackling the unintuitive nature of traditional robot programming, his research directly supports the vision of universally applicable, skillful robotic assistants that can adapt to customized production. Maddukuri’s contributions are particularly valuable for students and researchers interested in human-robot interaction, skill learning, and the practical deployment of assistive robotics in industry.