Manuel Palermo

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About

Manuel Palermo is a researcher at the forefront of assistive robotics and human motion analysis, specializing in the development of intelligent systems for gait rehabilitation. His work centers on leveraging computer vision and deep learning to enhance the functionality of robotic walkers, particularly for individuals with neurological conditions such as cerebellar ataxia. Palermo’s major contributions include the creation of the ASBGo smart walker, a platform designed for real-time posture and gait assessment, monitoring, and rehabilitation. He has pioneered the use of convolutional neural networks for real-time human pose estimation directly on a smart walker, a breakthrough that enables adaptive, responsive assistance during therapy. His highly cited 2021 paper on this topic has garnered 34 citations, while his 2022 multi-camera, multimodal dataset for posture and gait analysis—involving 14 healthy participants—has received 25 citations, providing a critical resource for the field. Though his work on the ASBGo walker for ataxic gait is still emerging, it represents a vital step toward non-pharmacological solutions for motor impairments. Palermo’s research is shaping the future of personalized, technology-driven rehabilitation.