Papers
16
Total Citations
451
H-Index
10
About
R. Saravanan is a prominent researcher in the field of robotics and evolutionary computation, with a focused expertise in trajectory optimization, robot design, and intelligent automation. His work has made significant contributions to the application of evolutionary algorithms — particularly Elitist Non-dominated Sorting Genetic Algorithm (NSGA-II) and Multi-objective Differential Evolution (MODE) — to solve complex, real-world robotics challenges. Saravanan's most influential contribution, "Evolutionary multi criteria design optimization of robot grippers" (2008), has garnered 110 citations, reflecting its broad impact on the robotics community. Much of his research centers on optimal trajectory planning for industrial robots such as the PUMA 560 manipulator, addressing practical constraints including obstacle avoidance, payload limitations, and minimum cost path generation. His multi-objective frameworks elegantly balance competing design criteria, advancing both the theoretical and applied dimensions of robot motion planning. Across his highly cited body of work — spanning gripper design, static balancing, and collision-free navigation — Saravanan has consistently demonstrated that evolutionary optimization techniques offer powerful, flexible solutions for industrial robotics. His research serves as a valuable foundation for engineers and academics seeking to design smarter, more efficient robotic systems in complex environments.
Research Focus
Key Achievements
Top Papers
- 1Evolutionary multi criteria design optimization of robot grippers110 citations · 2008
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- 4Evolutionary Minimum Cost Trajectory Planning for Industrial Robots52 citations · 2008
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- 6Evolutionary trajectory planning for an industrial robot27 citations · 2010
- 7Optimum static balancing of an industrial robot mechanism26 citations · 2007
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