Vinu Sivanantham
Singapore University of Technology and Design, Amrita Vishwa Vidyapeetham
Papers
19
Total Citations
473
H-Index
10
About
Vinu Sivanantham is a robotics and autonomous systems researcher whose work spans coverage path planning, self-reconfigurable robots, agricultural automation, and AI-driven maintenance systems. Best known for his highly cited 2018 work on a Modified A-Star Algorithm for coverage path planning in tetris-inspired self-reconfigurable robots (163 citations), Sivanantham has consistently pushed the boundaries of how robots navigate and adapt to complex environments. His innovative application of polyomino and polyhex tiling theories to floor-cleaning robot design demonstrates a distinctive ability to bridge abstract mathematics with practical engineering challenges. Beyond path planning, Sivanantham has made notable contributions to agricultural robotics, most prominently through "Amaran," an unmanned robotic coconut tree climber and harvester (79 citations), addressing a critical labor shortage in developing nations. His research portfolio further extends to AI-enabled predictive maintenance, social density monitoring during the COVID-19 pandemic, and human-robot interaction platforms for visually impaired users. With over 400 cumulative citations across his publications, his work reflects a strong commitment to deploying intelligent robotic solutions in real-world contexts — from household cleaning to rural agriculture — making him an influential voice in applied robotics research.
Research Focus
Key Achievements
Top Papers
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- 2Amaran: An Unmanned Robotic Coconut Tree Climber and Harvester79 citations · 2020
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