Debadutta Mishra
Papers
12
Total Citations
128
H-Index
6
About
Debadutta Mishra is a researcher whose work spans robotics, manufacturing engineering, and intelligent optimization, with particular expertise in robotic manipulator design, mobile robot path planning, and the machinability of advanced materials. His research into 3R revolute manipulators has been foundational, with early contributions dating back to 2009 examining workspace optimization using evolutionary algorithms, and culminating in comparative studies that benchmarked multiple meta-heuristic techniques — work that has collectively attracted dozens of citations. His application of bio-inspired algorithms, including Adaptive Cuckoo Search and modified Particle Swarm Optimization, demonstrates a sustained commitment to solving complex engineering design problems through computational intelligence. Mishra has also made notable contributions to mobile robotics, developing multi-objective optimization frameworks for autonomous path planning in cluttered environments, with his 2021 comparative meta-heuristics study earning 27 citations and becoming among his most recognized works. Equally significant is his research on NiTi shape memory alloys, where his 2019 machinability review garnered 39 citations — his most-cited work — reflecting the growing industrial and biomedical interest in these materials. His 2022 study on electrochemical machining of NiTinol further deepens this contribution. Across more than a decade of output, Mishra has established himself as a versatile and impactful voice in computational robotics and advanced manufacturing.
Research Focus
Key Achievements
Top Papers
- 1A Concise Review on Machinability of NiTi Shape Memory Alloys39 citations · 2019
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- 3Revolute manipulator workspace optimization: A comparative study18 citations · 2012
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- 9An appropriate tool for optimizing the workspace of 3R robot manipulator4 citations · 2009
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