Max Robotics — Global Service Robot Directory + US Certification

About

Daswin De Silva is a multidisciplinary researcher whose work spans autonomous robotics, unsupervised machine learning, and applied artificial intelligence, with earlier contributions in bioinformatics and laboratory systems. His research career reflects a compelling evolution from developing robust data management infrastructure — most notably a Laboratory Information Management System (LIMS) for high-throughput genetic mutation screening (2007, 27 citations) — toward pioneering intelligent systems for autonomous robots. De Silva has made significant contributions to sensory fusion and perception in robotics, developing bio-inspired and unsupervised machine learning architectures that enable robots to meaningfully interpret complex, multimodal environments. His work on scalable fusion for active perception (2019, 23 citations) and distributed Growing Self-Organizing Maps for skill transfer learning (2021) demonstrates a consistent focus on scalable, biologically motivated approaches to robotic intelligence. Notably, he has also bridged AI with healthcare analytics, applying machine learning to patient-reported outcomes in prostate cancer treatment comparisons (2018, 21 citations), showcasing the breadth of his impact. His more recent exploration of Vector Symbolic Architectures and blockchain-based smart contracts for robotic motion intelligence signals a forward-looking research agenda addressing transparency and adaptability in AI-driven robotic systems.