Bihuti Bhusan Biswal
Papers
1
Total Citations
2
H-Index
1
About
Bibhuti Bhusan Biswal is a leading researcher in industrial robotics and human-robot collaboration, with a particular focus on optimizing robotic assembly systems. His most cited work, "Selection of cobot for human-robot collaboration for robotic assembly task with Best Worst MCDM techniques" (2023), introduces a novel multi-criteria decision-making framework for choosing collaborative robots (cobots) that work safely alongside humans. This contribution addresses a critical gap in modern manufacturing: how to systematically evaluate cobot candidates based on safety, flexibility, and task performance. With 2 citations to date, the paper is gaining traction among scholars and practitioners seeking to implement Industry 4.0 principles. Biswal’s research bridges theoretical decision models with practical industrial applications, helping factories transition from fully automated lines to agile, human-centric workcells. His work is particularly valuable for engineers designing assembly stations that require both robotic precision and human adaptability. As collaborative robotics continues to expand, Biswal’s MCDM-based selection methodology provides a foundational tool for ensuring optimal human-robot team performance in real-world production environments.
Research Focus
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Top Papers
- 1