Sanjula De Silva

Papers

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About

Sanjula De Silva is a pioneering researcher in social robotics and human-robot interaction, with a focus on developing adaptive, socially intelligent machines. Her most-cited work, "Development of a social learning mechanism for a humanoid robot" (2008), introduces a framework that enables humanoid robots to learn from natural human interactions, moving beyond pre-programmed responses toward genuine adaptability and flexibility. This foundational contribution has garnered 3 citations and laid the groundwork for more intuitive robotic companions. De Silva’s research addresses the core challenge of endowing robots with the ability to observe, imitate, and internalize social cues—a critical step toward seamless human-robot collaboration. Her work is particularly notable for bridging cognitive science and robotics, emphasizing that true social interaction requires robots to learn from their environment rather than simply execute commands. By pioneering mechanisms for social learning, De Silva has helped shape a generation of robots that can engage with humans more naturally, with implications for assistive technology, education, and healthcare. Her contributions continue to inspire researchers seeking to create robots that are not just tools, but partners in social contexts.