S. Kumanan

About

S. Kumanan is a prominent researcher whose work spans two interconnected domains: advanced manufacturing and micromachining processes, and intelligent systems for industrial robotics. His most influential contribution, a comprehensive review on tool-based micromachining processes (2014, 109 citations), established him as a leading voice in precision manufacturing, addressing the growing industrial demand for miniaturized components across aerospace, medical, automotive, and electronics sectors. His investigations into micro-electrical discharge machining further demonstrate his commitment to pushing the boundaries of microscale fabrication technology. Equally significant is Kumanan's sustained contributions to robotics and intelligent fault management. Across multiple publications, he developed and refined hybrid fuzzy logic and neural network algorithms for fault detection, isolation, and tolerance in industrial robot manipulators — critical capabilities for robots operating in hazardous or remote environments. His 2007 work on fuzzy analytic hierarchy process for robotic system selection (27 citations) reflects his broader interest in applying multicriteria decision-making to complex engineering challenges. With over 200 cumulative citations, Kumanan's research has meaningfully advanced both the reliability of industrial robotic systems and the precision of modern microfabrication, making his work highly valuable for engineers and researchers navigating the intersection of smart manufacturing and intelligent automation.

Research Focus

Key Achievements

Top Papers

1. 1
   A Review on Current Research Aspects in Tool-Based Micromachining Processes

   109 citations · 2014
2. 2
   Application of multicriteria decision making for selection of robotic system using fuzzy analytic hierarchy process

   27 citations · 2007
3. 3
   A hybrid fuzzy logic artificial neural network algorithm-based fault detection and isolation for industrial robot manipulators

   24 citations · 2007
4. 4
   Fault detection and fault tolerance methods for industrial robot manipulators based on hybrid intelligent approach

   18 citations · 2012
5. 5
   Fault diagnosis system for a robot manipulator through neuro fuzzy approach

   14 citations · 2008
6. 6
   Experimental investigation and optimisation of process parameters in micro-electrical discharge machining

   9 citations · 2013
7. 7
   Prediction of weld quality using intelligent decision making tools

   8 citations · 2012
8. 8
   Robotics in online inspection and quality control using moment algorithm

   6 citations · 2012
9. 9
   A neuro-fuzzy-based fault detection and fault tolerance methods for industrial robotic manipulators

   2 citations · 2010

Key Collaborators

Contact & Links