Suyog Ghungrad
Papers
3
Total Citations
35
H-Index
3
About
Suyog Ghungrad is at the forefront of advancing autonomous robotics for additive manufacturing, a field critical for large-scale production in aerospace, construction, and even extraterrestrial environments. His research centers on the intelligent orchestration of multi-robot systems, tackling the fundamental challenge of where and how to place robots to maximize both energy efficiency and part quality. Ghungrad’s major contributions include developing a novel three-dimensional spatial energy-quality map that guides optimal robot placement in collaborative workflows, and creating a kinematics-guided, data-driven surrogate model that predicts energy consumption without costly simulations. His most-cited work, "Energy-efficient and quality-aware part placement in robotic additive manufacturing" (2023, 18 citations), has become a foundational reference for researchers seeking to balance productivity with sustainability. With over 35 total citations and a trajectory of impactful publications in 2023-2024, Ghungrad is recognized for bridging computational geometry, robotics kinematics, and manufacturing science. His work is not only advancing the practical deployment of autonomous manufacturing cells but also paving the way for resilient, self-sufficient production systems in remote or hazardous settings.
Research Focus
Key Achievements
Top Papers
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