Irin Bandyopadhyaya

Central Mechanical Engineering Research Institute

Papers

Total Citations

H-Index

About

Irin Bandyopadhyaya’s research lies at the intersection of tactile sensing, machine learning, and soft robotics, with a focus on transforming how machines perceive and interact with delicate objects. Her major contributions include developing robotic systems that classify softness and texture using tactile sensors, enabling precise, non-destructive grading in agriculture and enhancing haptic feedback in minimally invasive surgery. Her most-cited work, “Tactile sensing based softness classification using machine learning” (2014, 31 citations), demonstrates how sensor data can be processed to distinguish subtle material properties—a breakthrough for both medical and industrial applications. A related study on vegetable grading (2014, 7 citations) further showcases her ability to bridge machine learning with real-world tasks, offering automated solutions for quality control. Bandyopadhyaya’s work is notable for its practical impact, addressing pressing needs in surgical robotics and the fruit and vegetable grading industry. Her research continues to inspire advances in intelligent tactile systems, making her a key figure in the growing field of soft robotics and sensor-based automation.