James M. Dalphond

Papers

Total Citations

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About

James M. Dalphond’s research lies at the intersection of accessible human-robot interaction, social telepresence, and robotics education. His most impactful work, “Accessible Human-Robot Interaction for Telepresence Robots: A Case Study” (52 citations), addresses a critical need: enabling people with special needs—such as residents of healthcare facilities—to remotely participate in social activities with friends and family through intuitive telepresence robot operation. This contribution highlights his commitment to designing technology that enhances quality of life for vulnerable populations. Dalphond further advanced this domain with his iterative design of a semi-autonomous social telepresence robot research platform (25 citations), providing a foundational chronology for developing accessible robotic systems. More recently, his work on teaching localization in probabilistic robotics (2021) demonstrates a dedication to pedagogy, helping students grasp the probabilistic models that underpin robot state estimation. Collectively, Dalphond’s research bridges technical rigor with social impact, making him a notable figure in human-robot interaction and accessible robotics.