Avijit Mandal

ABB (India), International Institute of Information Technology Bangalore

Papers

Total Citations

H-Index

About

Avijit Mandal’s research lies at the intersection of human-robot interaction, end-user programming, and software safety for industrial robotics. His work addresses critical challenges in making industrial robots accessible to non-expert users while ensuring safe and reliable operation. Mandal’s most cited paper, “Training industrial end‐user programmers with interactive tutorials” (2022, 5 citations), explores how interactive tutorials can effectively train workers with limited programming experience to use block-based and lead-through programming tools. This contribution is vital for democratizing robot programming on factory floors. In “A Static Analyzer for Industrial Robotic Applications” (2017, 5 citations), he developed a static analysis tool for ABB’s RAPID language to detect potential runtime errors, tackling the complexity of real-time robotic systems. His work “Improving Safety in Collaborative Robot Tasks” (2019, 3 citations) proposes a safety-aware control method for human-robot shared workspaces, addressing a key concern in modern manufacturing. With a focused portfolio of high-impact work, Mandal is shaping safer, more intuitive industrial robotics for the next generation of end-users.