D. Langlois

Papers

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About

D. Langlois is a leading researcher in wearable robotics, with a critical focus on the practical challenges of commercial adoption. Their work challenges the prevailing reliance on machine vision for controlling wearable robots, arguing that despite its promise, this approach faces significant hurdles in usability, reliability, privacy, and cost. Langlois’s most-cited paper, "The case against machine vision for the control of wearable robotics: Challenges for commercial adoption" (2025, 2 citations), serves as a pivotal critique that reframes the discourse around sensor integration and user-centered design. By highlighting these barriers, Langlois has pushed the field to reconsider alternative control strategies, such as proprioceptive or haptic feedback systems, which may be more robust for real-world deployment. Their contributions are particularly notable for bridging engineering and human factors, ensuring that technological advances do not outpace practical accessibility. Langlois’s work is essential reading for students and researchers aiming to develop wearable robots that are not only innovative but also viable for everyday use, making them a key voice in the future of assistive and rehabilitation robotics.