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About

Emmanouil Angelidis is a robotics and simulation researcher whose work spans neurorobotics, biomimetic control systems, and physics-based fluid simulation for robotic platforms. His early contributions focused on bridging neuroscience and robotics: his collaborative Virtual Reality Neurorobotics Lab (2019, 23 citations) enabled multiple users to participate in immersive neurorobotic experiments, advancing accessible research infrastructure within the Human Brain Project. In parallel, his work on cerebellum-inspired control systems demonstrated how biologically motivated algorithms can dramatically increase a humanoid robot's adaptability in dynamic environments — a paper that also garnered 23 citations and highlights his interest in embodied intelligence. More recently, Angelidis has carved out a distinctive niche in fluid simulation for robotics, developing Smoothed Particle Hydrodynamics (SPH) frameworks that extend conventional physics engines to handle complex fluid-rigid body interactions. His Gazebo Fluids platform (2022) and subsequent SPH framework (2024) address a longstanding gap in robotics simulation tooling, with practical applications such as mobile 3D printing robots working with viscoelastic materials. Across his portfolio, Angelidis consistently pursues richer, more physically realistic simulation environments — work that supports the broader robotics community in developing more capable and adaptive autonomous systems.