Jindan Feng

Papers

Total Citations

H-Index

About

Jindan Feng is an emerging researcher specializing in human-robot collaborative assembly (HRCA) and digital twin technologies, with a focus on advancing intelligent manufacturing systems. Their work addresses one of modern industry's most pressing challenges: seamlessly integrating human dexterity and cognitive flexibility with robotic precision and endurance to optimize assembly processes. Feng's most notable contributions include developing integrated frameworks for task sequence planning and assignment in collaborative assembly stations, which has garnered 21 citations since its 2022 publication, establishing it as a foundational reference in the field. Complementing this, their digital twin-based design and operation work for HRCA systems demonstrates how virtual modeling can enable more efficient labor division and flexible real-time control, accumulating 15 citations. A particularly compelling applied study examines HRCA implementation for satellite assembly — a high-complexity domain involving both large structural panels and intricate components — highlighting the practical scalability of their methods. Collectively, Feng's research emphasizes deep human-robot communication protocols, intelligent task allocation, and simulation-driven design as pillars for next-generation manufacturing. Their growing citation record signals meaningful early-career impact, making their work essential reading for researchers exploring smart factories and collaborative robotics.