Anuar Muhamed Kassim

Technical University of Malaysia Malacca

Papers

Total Citations

H-Index

About

Anuar Muhamed Kassim is a researcher whose work lies at the intersection of human-robot interaction and affective computing, with a particular focus on understanding how humans and robots can collaborate effectively. His most-cited paper, "Analysis of human emotion in human-robot interaction" (2015), explores the critical role of emotional cues in fostering seamless collaboration between humans and robots in real-world settings like hospitals and industry. By analyzing how robots can interpret human emotions, Kassim’s work contributes to the development of more intuitive and responsive robotic systems that enhance teamwork and productivity. While his citation count is modest, his research addresses a foundational challenge in robotics: enabling machines to understand and respond to human emotional states. This work is especially relevant as robots become more integrated into daily life, where trust and communication are key. Kassim’s contributions help pave the way for robots that are not just tools, but collaborative partners, making his research a valuable stepping stone for students and researchers interested in the human side of automation.