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Balancing Ambition and Incremental Progress in Robotics
This chapter discusses the interplay between ambitious long-term projects and incremental advancements in cognitive robotics at the Eye Institute. It emphasizes the importance of tangible milestones, team dynamics, and the integration of machine learning to enhance robot adaptability and problem-solving capabilities. Additionally, it explores innovative testing methodologies and the significance of authentic demonstrations in showcasing robotic performance.