Papers
6
Total Citations
29
H-Index
3
About
Florian Mirus is a robotics researcher whose work lies at the intersection of neuromorphic computing, social navigation, and large-scale robotic deployment. His research focuses on enabling mobile robots to operate intelligently and safely alongside humans, with key contributions spanning sensorimotor adaptation, deep reinforcement learning for socially-compliant navigation, and fault-tolerant edge computing. His most-cited work, "Neuromorphic sensorimotor adaptation for robotic mobile manipulation" (2018, 9 citations), explores how brain-inspired sensing and control can drive adaptive robot behavior. Mirus has also advanced human-robot interaction through "Social Navigation with Human Empowerment Driven Deep Reinforcement Learning" (2020, 5 citations), which models robot movement to respect human autonomy. More recently, he has tackled the challenge of scaling robotic systems from simulation to real-world deployment, co-authoring "Conquering the Robotic Software Development Cycle at Scale: Using KubeROS" (2024) and a study on fault-tolerant edge navigation (2024). His earlier work on hybrid localization combining grid maps and natural landmarks (2016) laid groundwork for robust positioning. With a growing portfolio spanning theoretical foundations to practical deployment, Mirus is shaping the future of socially-aware, cloud-connected mobile robotics.
Research Focus
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Top Papers
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