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About

W.S. Wijesoma is a distinguished robotics and autonomous systems researcher whose work spans mobile robotics, simultaneous localization and mapping (SLAM), and intelligent control systems. With a career marked by foundational contributions to autonomous navigation, Wijesoma has helped shape how robots perceive, map, and move through complex environments. His early work on fuzzy speed and steering control for autonomous guided vehicles (AGVs), cited over 140 times, established robust frameworks for lateral and longitudinal vehicle control that influenced subsequent generations of autonomous systems research. His investigations into the theoretical foundations of SLAM — particularly observability analysis and multidimensional assignment-based data association — addressed some of the field's most persistent computational challenges, accumulating over 170 combined citations. His novel random finite set formulation for Bayesian SLAM offered a mathematically rigorous alternative to conventional approaches. Wijesoma also made significant contributions to cooperative mobile manipulator control, developing adaptive robust strategies for multi-robot systems operating under uncertainty. Beyond theoretical work, his research extended to socially impactful applications, including EOG-based assistive platforms enabling severely disabled individuals to control mobile robots through eye movement. Collectively, his work bridges theoretical rigor with practical humanitarian relevance across autonomous robotics.