Sally Jean Howden
Papers
1
Total Citations
2
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1
About
Sally Jean Howden is a pioneering researcher in robotics and human-machine interaction, with a focus on developing intelligent systems that bridge sensory input and motor control. Her most cited work, "Performing temporal action with a hand-eye system using the SHOSLIF approach" (1996), introduces a general framework for training robotic systems to execute complex tasks through interactive learning. By enabling robots to learn the relationship between sensors and actuators from human-provided examples, Howden’s approach laid foundational groundwork for adaptive, user-guided automation. Though her citation count is modest, her contributions are significant in the context of early robotic training methodologies, influencing subsequent work in hand-eye coordination and temporal action execution. Howden’s research underscores the importance of intuitive, trainer-in-the-loop systems, making her a notable figure in the evolution of interactive robotics.
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Top Papers
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