Anand Ashok Sawant

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About

Anand Ashok Sawant is a researcher dedicated to making industrial robotics accessible to non-expert users, with a focus on end-user programming and human-robot interaction. His work addresses a critical gap in modern manufacturing: while advanced robot programming tools now allow workers with no formal coding background to program industrial robots using block-based languages and lead-through methods, these users still need effective training to use such systems safely and efficiently. Sawant’s most-cited paper, “Training industrial end‐user programmers with interactive tutorials” (2022, 5 citations), proposes and evaluates interactive tutorial designs that guide novice programmers through the process, reducing cognitive load and error rates. This contribution is foundational to the emerging field of inclusive industrial automation, where usability and training are as important as technical capability. By focusing on the human side of robotics—how people learn, adapt, and collaborate with machines—Sawant’s work has practical implications for workforce development, safety, and productivity in smart factories. His research bridges human-computer interaction, programming education, and industrial engineering, positioning him as a key voice in democratizing robot programming for the 21st-century workforce.