Hrishav Bakul Barua
Papers
6
Total Citations
26
H-Index
3
About
Hrishav Bakul Barua is an emerging researcher working at the intersection of social robotics, human-computer interaction, computer vision, and machine learning. His work focuses on enabling intelligent robotic systems to perceive, interpret, and engage naturally with humans in real-world settings. One of his most significant contributions lies in advancing telepresence robotics — developing human-like avatar robots capable of attending meetings, joining group discussions, and representing remote users with social awareness. His comprehensive overview of F-formation theory for social robot group perception has garnered 7 citations, reflecting growing interest in robots that can recognize and respectfully join human social interactions. Equally notable is his work on semi-supervised action recognition through the transformer-based ActNetFormer framework, also earning 7 citations, which addresses the challenge of learning from limited labeled video data. Barua has additionally explored edge-computing architectures for telepresence systems and the broader role of data science and machine learning in cloud environments. With a research portfolio spanning cognitive robotics, AI-driven perception, and distributed computing, Barua's contributions are carving out meaningful ground in making robots more socially intelligent and practically deployable in everyday human environments.
Research Focus
Key Achievements
Top Papers
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