Papers
40
Total Citations
403
H-Index
11
About
Bibhuti Bhusan Biswal is a distinguished researcher specializing in robotics, automation, and intelligent manufacturing systems, with particular expertise in robotic welding, assembly sequence optimization, and trajectory planning. His work bridges advanced sensing technologies with industrial robotics, making meaningful contributions to smart manufacturing processes. Biswal's most impactful work focuses on laser and vision-sensor-assisted robotic arc welding, with his 2021 study on weld seam detection and process parameter optimization accumulating 68 citations — a testament to its practical significance in achieving precision welding under varying conditions. His research on robotic assembly sequence generation, employing innovative methods such as ant colony optimization and novel concatenation approaches, has significantly advanced cost-effective automated assembly, earning over 50 collective citations across multiple studies. His contributions to optimal trajectory planning for industrial robots — leveraging evolutionary algorithms including NSGA-II, TLBO, and multi-objective ant lion optimization — have meaningfully improved positional accuracy and motion smoothness in real manufacturing environments. Complementing this, his work on inverse kinematics using hybrid neural networks demonstrates a strong commitment to soft computing applications in robotics. With over 200 cumulative citations, Biswal's research portfolio reflects sustained, applied impact across robotic welding, sensor integration, and intelligent motion planning — making his work essential reading for engineers and researchers advancing modern industrial automation.
Research Focus
Key Achievements
Top Papers
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- 9Inverse Kinematic Solution of Robot Manipulator Using Hybrid Neural Network14 citations · 2014
- 10Multiple Sensor Integrated Robotic End-effectors for Assembly11 citations · 2014