Vishakh Duggal

Indian Institute of Technology Hyderabad, ABB (Switzerland)

Papers

Total Citations

H-Index

About

Vishakh Duggal is a researcher at the intersection of precision agriculture and intelligent robotics, whose work bridges autonomous systems and semantic knowledge representation. His most cited contribution, "Plantation monitoring and yield estimation using autonomous quadcopter for precision agriculture" (2016, 52 citations), pioneered a framework that combines quadcopter-based aerial imaging with supervised learning to autonomously monitor crops and estimate yields. This work has become a foundational reference in precision agriculture, demonstrating how low-cost UAVs can replace manual field surveys. More recently, Duggal has advanced the field of industrial robotics with his paper "Dynamic Knowledge Graphs as Semantic Memory Model for Industrial Robots" (2021, 3 citations), where he proposes a novel semantic memory architecture that enables machines to store and reason over sensory experiences using dynamic knowledge graphs. This model allows robots to become more proficient over time by comprehending their environment contextually. Duggal's work uniquely spans both agricultural automation and cognitive robotics, reflecting a vision where machines not only perceive but also learn and adapt. His research continues to influence how autonomous systems can be deployed for real-world, data-driven decision-making.