Scott MacLeod

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About

Scott MacLeod is a leading researcher at the intersection of robotics, artificial intelligence, and human-robot interaction, with a primary focus on Ambient Assisted Living (AAL) and Socially Assistive Robots (SARs). His work addresses the critical challenge of supporting an aging global population through intelligent, autonomous systems. MacLeod’s major contributions include developing algorithms that fuse data from videos, inertial units, and ambient sensors to achieve robust activity recognition—a cornerstone for smart homes and assistive robots. His most-cited paper on this topic (2021, 78 citations) provides a comprehensive framework for extracting semantically meaningful information from multimodal data, enabling truly autonomous behaviors in care environments. More recently, MacLeod has advanced the field by exploring how SARs can function as transparent, intentional decision-makers, a pivotal step for building trust and ensuring ethical autonomy in robots that assume higher responsibility. His work on decision transparency and motivation communication (2023) is already shaping the next generation of human-centered robotics. Through these contributions, MacLeod is helping to define how robots can safely and effectively integrate into daily human life, making him a vital voice in the future of assistive technology.