Sudhakar Sengan

Papers

Total Citations

H-Index

About

Dr. Sudhakar Sengan is a leading researcher in intelligent manufacturing systems, autonomous robotics, and context-aware automation. His work focuses on optimizing flexible manufacturing systems (FMS) through advanced scheduling and AI-driven robotics. Notably, his 2023 study on "Effective Scheduling of Multi-Load Automated Guided Vehicles in Spinning Mill" (62 citations) demonstrates how multi-load AGVs can dramatically boost FMS throughput by improving material handling efficiency in industrial settings. This work has significant implications for smart factory design and logistics optimization. Additionally, his 2022 paper "ICACIA: An Intelligent Context-Aware framework for COBOT in defense industry" (11 citations) pioneers the integration of ontological reasoning and deep learning models to enable collaborative robots (COBOTs) to adaptively respond to dynamic environments, enhancing safety and precision in defense applications. Dr. Sengan’s contributions bridge theoretical AI with practical industrial automation, offering scalable solutions for real-world manufacturing challenges. His research is widely cited by scholars in robotics, industrial engineering, and cyber-physical systems, underscoring its impact on advancing autonomous and intelligent production ecosystems.