Jayanti Lahoti

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About

Jayanti Lahoti is an emerging researcher whose work sits at the dynamic intersection of artificial intelligence, computer vision, and robotics, with a focused application in sustainable waste management systems. Lahoti's most impactful contribution, "Multi-class waste segregation using computer vision and robotic arm" (2024), has already garnered 20 citations — a remarkable achievement for a recently published work — demonstrating the immediacy and relevance of the research to both the academic community and real-world environmental challenges. This study addresses the critical problem of mixed recyclable waste collection at the source, proposing an intelligent automated solution that classifies and physically separates waste into distinct categories. Complementing this, Lahoti's analytical review of AI-based robotic waste segregation techniques further establishes a theoretical and comparative foundation for the field, earning 4 citations since publication. Together, these works position Lahoti as a promising voice in the development of smart, automated waste management infrastructure — research that carries significant implications for environmental sustainability, circular economy initiatives, and the practical deployment of intelligent robotic systems in everyday public service applications.