Marta Galvan
Papers
1
Total Citations
8
H-Index
1
About
Marta Galvan is a robotics researcher whose work focuses on the critical challenge of human-robot interaction, particularly in the domain of socially aware navigation. Her primary research areas include path planning, social force modeling, and the development of algorithms that enable robots to move safely and naturally among people. Galvan’s most notable contribution is her 2019 paper, "Robot Navigation to Approach People Using G²-Spline Path Planning and Extended Social Force Model," which has garnered 8 citations. In this work, she introduced an innovative approach that combines smooth G²-spline trajectories with an extended social force model, allowing robots to approach humans in a manner that respects personal space and social norms—a key step toward seamless human-robot coexistence. While her citation count is modest, the paper’s focus on practical, real-world navigation challenges highlights her commitment to bridging theoretical robotics with tangible applications. Galvan’s research is particularly relevant for students and researchers interested in service robotics, autonomous systems, and the ethical design of machines that interact with people. Her work underscores the importance of integrating social dynamics into robotic algorithms, paving the way for more intuitive and acceptable robotic assistants in public and domestic spaces.
Research Focus
Key Achievements
Top Papers
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