Alvin Tang

Papers

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About

Alvin Tang is a rehabilitation engineer whose research focuses on developing robotic and assistive technologies to restore motor function in individuals with neurological injuries, particularly poststroke hemiparesis. His major contribution lies in systematically deconstructing how robotic assistance—specifically weight support and path guidance—can facilitate complex three-dimensional arm movements during rehabilitation. In his most cited work (2020, 12 citations), Tang demonstrated that while both forms of assistance improve movement quality, weight support alone may be sufficient to enable high-intensity training, challenging assumptions about the necessity of full trajectory control. This finding has practical implications for designing simpler, more cost-effective robotic rehabilitation devices. Tang’s work bridges fundamental motor control principles with clinical application, helping to identify the minimal essential features needed for effective robotic therapy. His research is particularly impactful for stroke survivors, where high-dose repetitive training is critical but often difficult to deliver. By clarifying the roles of different assistive modalities, Tang contributes to evidence-based guidelines for robotic rehabilitation, ultimately aiming to make intensive therapy more accessible and effective in clinical settings.