Jeremy Castagno

Papers

Total Citations

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About

Jeremy Castagno is a robotics researcher whose work centers on assistive mobility and human-robot interaction, with a particular focus on enhancing autonomy for individuals with disabilities. His most cited paper, "Automated Curb Recognition and Negotiation for Robotic Wheelchairs" (2021, 7 citations), addresses a critical safety gap in powered wheelchair design: the inability to safely detect and traverse architectural barriers like curbs without user intervention. Castagno’s key contribution lies in developing perception and control algorithms that enable robotic wheelchairs to autonomously recognize curbs and execute safe negotiation maneuvers, reducing the risk of injury and damage while minimizing the user’s cognitive and physical burden. This work is notable for its practical, user-centered approach—shifting from requiring precise manual alignment to automated, robust curb handling. While his citation count reflects an emerging career, the impact of his research is significant within the assistive robotics community, offering a tangible pathway toward greater independence for wheelchair users. Castagno’s achievements highlight a commitment to translating robotic perception and control into real-world accessibility solutions, making him a promising voice in the field of inclusive robotics.