S. Pugazhenthi
Papers
11
Total Citations
254
H-Index
8
About
S. Pugazhenthi is a robotics and assistive technology researcher whose work spans mobile robot navigation, rehabilitation engineering, and autism intervention systems. With a career dedicated to solving real-world human challenges through intelligent robotics, Pugazhenthi has made meaningful contributions across two distinct but complementary domains. In mobile robotics, his foundational research on path planning in dynamic environments has earned substantial recognition, with his particle swarm optimization-based planner accumulating 51 citations and his broader path planning studies attracting over 40 citations. His early work addressing polyhedral and curved obstacle avoidance, alongside genetic algorithm-based online planning methods, established him as a rigorous contributor to autonomous navigation research. Pugazhenthi's most-cited work — a 2013 review of mobility assistive devices and self-transfer robotic systems for the elderly, with 82 citations — signals a pivotal shift toward human-centered assistive technology. He subsequently developed robotic self-transfer devices designed to restore dignity and independence for wheelchair users, translating research into practical solutions. Equally notable is his work applying robotics to autism therapy, where custom robotic kits and imitation-based training systems have been deployed to improve psychomotor skills in children with Autism Spectrum Disorder — a compassionate intersection of engineering and special education that reflects the humanitarian heart of his research program.
Research Focus
Key Achievements
Top Papers
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- 3Path planning for a mobile robot in dynamic environments40 citations · 2011
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- 5ON-LINE PATH PLANNING FOR MOBILE ROBOTS IN DYNAMIC ENVIRONMENTS16 citations · 2012
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- 7Development of a self-transfer robotic facility for elderly and disabled9 citations · 2015
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