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About

Spyridon G. Tarantos is a robotics researcher whose work centers on safe, real-time motion generation for autonomous systems operating in dynamic, human-populated environments. His primary contributions lie at the intersection of Nonlinear Model Predictive Control (NMPC) and Control Barrier Functions (CBFs), enabling robots to navigate crowded spaces while respecting safety and balance constraints. His most-cited paper (2022, 15 citations) introduces a sensor-based scheme that combines crowd prediction with NMPC-CBF motion generation, allowing robots to safely weave through moving humans using only onboard perception. Tarantos extends this framework with dynamics-aware navigation for both ground and flying robots (2023, 7 citations), and has developed real-time motion generation for mobile manipulators that maintains balance even during aggressive maneuvers (2022, 3 citations). His work is notable for its practical, sensor-driven approach—bridging theoretical control methods with real-world deployment challenges. By addressing the core problem of safe autonomy in unpredictable settings, Tarantos’s research has immediate relevance for service robots, warehouse automation, and aerial vehicles operating alongside people.