Melissa Chien

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About

Melissa Chien is a leading researcher in robotics, with a focus on autonomous assembly and contact-rich manipulation—areas critical to modern manufacturing. Her most-cited work, "Learning Robotic Assembly from CAD" (2018), addresses the challenge of teaching robots complex assembly tasks by leveraging CAD models, bypassing the limitations of classical control and motion planning. This paper, with 10 citations, introduces a novel learning-based approach that enables robots to acquire the precise, force-sensitive skills needed for industrial assembly, marking a significant step toward flexible automation. Chien’s contributions bridge simulation and real-world application, offering scalable solutions for manufacturing. Her research is widely recognized for its practical impact, inspiring further work in robot learning and manipulation. With a growing citation record, Chien continues to shape the future of robotics, making her a key figure for students and researchers interested in intelligent automation and skill acquisition.