Rabindra Narayan Mahapatra
National Institute of Technology Meghalaya, National Institute of Technology Agartala, Siksha O Anusandhan University
Papers
7
Total Citations
38
H-Index
4
About
Rabindra Narayan Mahapatra is a leading researcher in robotic assembly planning and automation, with a focus on developing practical, uncertainty-aware solutions for industrial manufacturing. His key contributions lie in creating optimal assembly sequence planners that integrate tool constraints and real-world uncertainties, moving beyond idealized virtual models. His most cited work, "Optimal robotic assembly sequence planning with tool integrated assembly interference matrix" (2023, 12 citations), introduces a novel method to incorporate tool geometry directly into the planning process, significantly improving feasibility and efficiency. He further advanced this field by addressing tool uncertainties (2023, 9 citations) and enhancing robotic assembly task planning through a hybrid class topper optimisation algorithm (2024, 5 citations). Beyond assembly, Mahapatra has contributed to robot selection methodologies, developing attribute-based ranking systems for task assignment (2009, 3 citations), and to soft robotics with material selection analysis for robotic fingers (2020, 4 citations). His work on conceptual design of anthropomorphic robotic hands (2012, 3 citations) demonstrates a broad expertise spanning from fundamental design to practical optimization. With a growing citation impact, Mahapatra’s research is directly shaping the future of efficient, reliable robotic automation in manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2Optimal assembly sequence planning with tool uncertainties9 citations · 2023
- 3
- 4
- 5Attribute-Based Ranking and Selection of Robots for Task Assignment3 citations · 2009
- 6
- 7Attribute-Based Relative Ranking of Robot for Task Assignment2 citations · 2009