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About

David Coupez is a pioneering researcher in the field of robotics, with a primary focus on the automation and optimization of multi-robot assembly systems. His work centers on the integration of artificial intelligence, particularly knowledge-based systems, to solve complex challenges in manufacturing. Coupez’s major contributions include developing novel scheduling algorithms for multi-robot cells and creating knowledge-based frameworks for process planning and error recovery. His 1990 paper on multi-robot assembly cell scheduling, with 15 citations, is a foundational work in the area, while his 1988 study on knowledge-based error recovery in robotized assembly (12 citations) introduced methods for real-time fault handling. He also advanced the field by demonstrating how high-level product descriptions can be used to generate assembly plans off-line, as detailed in his 1989 paper on knowledge-based process planning (6 citations). Later, in 2003, he addressed the supervision of flexible assembly cells with multiple robots, minimizing online computations. Coupez’s research has had a lasting impact on industrial robotics, providing key insights into the coordination, planning, and resilience of automated assembly systems.