Papers
15
Total Citations
138
H-Index
6
About
Avinash Kumar Singh is a researcher whose work spans the intersecting domains of human-robot interaction (HRI), biometric recognition, and intelligent robotics. With a strong foundation in face recognition techniques, Singh's early contributions explored facial symmetry as a biometric modality, situating his work within practical applications such as security authentication and surveillance. His most-cited paper in this area has garnered 27 citations, reflecting its relevance to ongoing challenges in identity verification. Singh's subsequent research shifted significantly toward humanoid robotics, particularly the NAO and Pepper platforms. His investigations into robot sketch drawing — developing calibration techniques and autonomous drawing frameworks — represent a novel application of robotic kinematics, with related works accumulating over 49 citations collectively. He has also made notable strides in accessible HRI, developing systems incorporating Indian Sign Language using possibility theory and fusing gesture and speech modalities to improve interaction accuracy. Perhaps most distinctively, Singh's recent work addresses robot transparency and explainability, exploring how collaborating robot teams can verbally communicate their intentions to human partners — a growing priority in trustworthy AI research. Across his portfolio, Singh demonstrates a consistent commitment to making robotic systems more intuitive, inclusive, and socially aware.
Research Focus
Key Achievements
Top Papers
- 1Face recognition using facial symmetry27 citations · 2012
- 2
- 3
- 4Verbal explanations by collaborating robot teams13 citations · 2020
- 5Development of a self reliant humanoid robot for sketch drawing12 citations · 2017
- 6Sketch drawing by NAO humanoid robot11 citations · 2015
- 7
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- 9Understandable Teams of Pepper Robots4 citations · 2020
- 10Understandable Collaborating Robot Teams4 citations · 2020