Biswajit Mohanty
Papers
2
Total Citations
6
H-Index
2
About
Biswajit Mohanty is a researcher at the forefront of industrial robotics and autonomous systems, with a focused expertise in path planning, human-robot collaboration, and multi-criteria decision-making (MCDM). His work addresses critical challenges in modern manufacturing and automation, particularly in enhancing the efficiency and safety of robotic operations. Mohanty’s major contributions include the development of an enhanced particle swarm optimization (PSO) algorithm for mobile robot path planning, which enables collision-free navigation in complex environments—a foundational study that has garnered 4 citations. He has also advanced the selection of collaborative robots (cobots) for assembly tasks by integrating Best Worst MCDM techniques, a novel framework that optimizes human-robot interaction and task allocation. This work, published in 2023, has already attracted 2 citations, reflecting its growing relevance in the field. Mohanty’s research is notable for bridging theoretical optimization with practical industrial applications, offering scalable solutions for robotic assembly and logistics. His achievements underscore a commitment to making robotics more adaptive and human-centric, positioning him as an emerging voice in the evolution of smart manufacturing and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1
- 2