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About

Stevica Graovac is a researcher whose work lies at the intersection of autonomous vehicle perception and multi-robot coordination. His primary research areas include on-road obstacle detection, mobile robot path planning, and formation control. Graovac’s most significant contribution is his 2016 paper, “A classification of on-road obstacles according to their relative velocities,” which tackles the critical pre-avoidance problem of detecting and classifying obstacles for autonomous vehicles and robots. This work, with 6 citations, provides a foundational method for systems that rely on image processing to interpret dynamic environments. In parallel, Graovac has advanced the field of multi-robot systems through his 2013 papers on intelligent path planning and formation control. His “Integrated Approach for Intelligent Path Planning and Control of Mobile Robot in Structured Environment” and “An algorithm for formation control of mobile robots” (each with 4 citations) propose solutions for generating collision-free trajectories and guiding robot formations in structured static settings. His 2012 work on combined controller architectures further refines leader-follower formation control. Graovac’s research is particularly valuable for students and engineers developing autonomous navigation systems, as it bridges the gap between high-level planning and low-level control in real-world environments.