J. Mukund Nilakantan
Papers
10
Total Citations
496
H-Index
8
About
J. Mukund Nilakantan is a prominent researcher specializing in robotic assembly line balancing, optimization algorithms, and sustainable manufacturing systems. His work sits at the intersection of industrial engineering and computational intelligence, focusing on how intelligent automation can improve manufacturing efficiency while reducing environmental impact. Nilakantan's most influential contribution, "An Investigation on Minimizing Cycle Time and Total Energy Consumption in Robotic Assembly Line Systems" (2014), has garnered 145 citations, establishing him as a leading voice in energy-conscious robotic manufacturing. His research consistently addresses the dual challenge of maximizing productivity while minimizing resource consumption — a critical concern for modern industry. Notably, his 2017 work on carbon footprint reduction in robotic assembly lines (91 citations) reflects his commitment to sustainable manufacturing practices. A defining strength of his research is the application of bio-inspired and metaheuristic algorithms — including Particle Swarm Optimization, differential evolution, and co-evolutionary algorithms — to solve complex assembly line problems. His exploration of U-shaped robotic assembly lines, a particularly efficient manufacturing configuration, spans multiple high-impact studies. With a cumulative citation count exceeding 490 across ten papers, Nilakantan's work has meaningfully shaped how researchers and engineers approach intelligent, sustainable robotic manufacturing systems.
Research Focus
Key Achievements
Top Papers
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- 2Robotic U-shaped assembly line balancing using particle swarm optimization96 citations · 2015
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- 6An efficient PSO for type II robotic assembly line balancing problem23 citations · 2012
- 7Minimizing energy consumption in a U-shaped robotic assembly line17 citations · 2015
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