Poulastya Mukherjee

Fraunhofer Institute for Manufacturing Engineering and Automation

Papers

Total Citations

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About

Poulastya Mukherjee is a researcher at the forefront of intelligent robotic manufacturing, with a focus on automating and optimizing robot programming for industrial applications. His key research areas include robotic manufacturing, workpiece positioning, and process optimization. Mukherjee’s most notable contribution is his pioneering work on automatic close-optimal workpiece positioning, which addresses a critical bottleneck in robot programming—traditionally an expert-dependent, non-optimized task. His 2018 paper, "Automatic Close-optimal Workpiece Positioning for Robotic Manufacturing," introduces a novel algorithm that determines near-optimal workpiece poses for processes like welding, significantly reducing manual setup time and enhancing manufacturing efficiency. With 10 citations, this work has garnered attention for its practical impact on streamlining robotic workflows. Mukherjee’s research bridges the gap between theoretical optimization and real-world manufacturing needs, making robot programming more intuitive and accessible for end-users. His achievements highlight a commitment to advancing automation, offering tangible solutions that reduce dependency on specialized expertise while improving precision and productivity in industrial robotics.