S. De Silva

Papers

Total Citations

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About

S. De Silva is a pioneering researcher in developmental robotics, with a primary focus on robot joint attention and unsupervised learning mechanisms. Their most-cited work, the 2009 paper "Unsupervised approach to acquire robot joint attention," challenges traditional supervised training methods by proposing a model where robots autonomously learn to share attention with caregivers using only object location and visual cues, without relying on pre-labeled data from multiple subjects. This contribution is foundational in enabling robots to develop social cognition more naturally, akin to human infants. While their citation count (4) reflects the niche and early-stage nature of this work, it has influenced subsequent studies in human-robot interaction and cognitive robotics. De Silva’s research underscores a shift toward more adaptive, self-learning robotic systems, making their work a key reference for students and researchers exploring unsupervised learning in social robotics.