Savvas Velissaris

Foundation for Research and Technology Hellas, University of Crete

Papers

Total Citations

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About

Savvas Velissaris is a researcher whose work lies at the intersection of computer vision and autonomous robotics, with a particular focus on visual navigation. His major contributions center on enabling robots to navigate unfamiliar environments without relying on pre-defined maps or landmarks. In his most cited work, "Visual landmark extraction and recognition for autonomous robot navigation" (2002, 22 citations), Velissaris pioneered a method where robots autonomously extract visual landmarks during a learning phase by constructing a saliency map, allowing them to recognize key features in real-time. This approach eliminates the need for manual landmark selection, making navigation more adaptive and scalable. His earlier foundational paper, "Visual Recognition of Workspace Landmarks for Topological Navigation" (1999, 18 citations), further established techniques for using visual cues to build topological maps of workspaces. Velissaris's work has been influential in advancing the field of mobile robotics, offering practical solutions for autonomous systems operating in dynamic, unstructured environments. His research continues to inspire new approaches in robot perception and navigation, demonstrating the power of combining computer vision with intelligent decision-making.