Kshitij Bhatta
Papers
6
Total Citations
73
H-Index
4
About
Kshitij Bhatta is an emerging researcher specializing in flexible manufacturing systems, intelligent production control, and autonomous robotics integration. His work centers on developing advanced control strategies for mobile multi-skilled robot-operated manufacturing environments, addressing critical challenges in real-time robot assignment, maintenance scheduling, and production optimization. Bhatta's most significant contributions include pioneering the concepts of "Opportunity Windows" and novel disruption event modeling to enable dynamic robot assignment in flexible serial production systems, work that has garnered 20 citations since 2022. His 2023 paper introducing Heterogeneous Graph Neural Networks for simultaneously managing robot assignment, tool changes, and preventive maintenance represents a particularly innovative leap, earning 28 citations and demonstrating his ability to bridge machine learning with practical manufacturing control problems. He has further advanced the field through multi-agent reinforcement learning frameworks for holistic production and maintenance management, as well as hierarchical planning-scheduling architectures for smart manufacturing environments. Collectively accumulating over 70 citations across six publications, Bhatta's research addresses real-world manufacturing vulnerabilities exposed by disruptions such as the COVID-19 pandemic. His body of work positions him as a promising contributor to the future of intelligent, resilient, and autonomous manufacturing systems.
Research Focus
Key Achievements
Top Papers
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- 2Dynamic Robot Assignment for Flexible Serial Production Systems20 citations · 2022
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