Jocelyn Martin

Centre National de la Recherche Scientifique, SoftBank Robotics (France)

Papers

Total Citations

H-Index

About

Jocelyn Martin’s research lies at the intersection of assistive robotics, human-robot interaction, and semantic reasoning, with a focus on enabling robots to support elderly individuals in natural environments. Her most cited work, "ARMEN: Assistive robotics to maintain elderly people in natural environment" (2013, 21 citations), introduces a framework for deploying robots as companions that help older adults maintain independence and quality of life at home. Building on this, Martin’s subsequent papers explore how humans can intuitively teach robots new behaviors using spoken language—a key step toward making robots more adaptable and socially acceptable in long-term interactions. Her 2017 paper (11 citations) presents a proof-of-concept where a Pepper robot learns behavior compositions through semantic-based interaction, demonstrating how speech can transfer knowledge and high-level instructions. This work highlights her commitment to bridging the gap between complex robotic systems and everyday users. Though her citation counts are modest, Martin’s contributions are foundational to the growing field of socially assistive robotics, emphasizing user-centered design and natural communication. Her research is particularly relevant for students and researchers interested in making robots more accessible, empathetic, and practical in real-world caregiving contexts.