Manikandan Ganesan

Papers

Total Citations

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About

Manikandan Ganesan is a robotics researcher focused on the intersection of agricultural automation and public safety systems. His primary research areas include path planning optimization for autonomous agricultural robots and the development of robotic solutions for crowd management. Ganesan’s most significant contribution is his work on the "Hybrid Dragonfly – Cuckoo Search Algorithm," which addresses the critical challenge of collision-free, optimized path coverage for precision farming tasks such as spraying, seeding, and harvesting. This work, published in 2021, has garnered 9 citations, highlighting its relevance to the ongoing evolution of smart agriculture. In response to the global COVID-19 pandemic, Ganesan also developed a "Crowd Control Robot for Congestion Control," a timely innovation aimed at reducing human contact and managing public spaces safely. This dual focus on agricultural efficiency and public health robotics demonstrates his versatility in applying robotic systems to real-world problems. His work is particularly valuable for researchers and students interested in bio-inspired algorithms, autonomous navigation, and socially impactful robotics.