Max Robotics — Global Service Robot Directory + US Certification

About

Flavio Esposito is a leading researcher at the intersection of edge computing, network virtualization, and intelligent robotics. His work addresses the core challenge of enabling ultra-low-latency, high-bandwidth applications—from augmented reality to autonomous drones—by developing foundational techniques for managing and orchestrating resources across multi-technology edge networks. His highly cited paper, "Managing Chains of Application Functions Over Multi-Technology Edge Networks" (20 citations), and his earlier work on "A General Distributed Approach to Slice Embedding with Guarantees" (17 citations) have been instrumental in shaping how virtual network services are deployed with performance guarantees. More recently, Esposito has pushed into the frontiers of embodied AI, exploring how Large Language Models and natural language processing can be deployed at the edge to control mobile robots and assistive devices. His 2025 paper on "Improving Robotic Arms Through Natural Language Processing, Computer Vision, and Edge Computing" and his work on transformer-based models for motor intent recognition (EMG-TransNN-MHA) demonstrate a clear trajectory toward making human-robot interaction more intuitive and responsive. With a career spanning foundational network slicing to cutting-edge edge-AI robotics, Esposito’s research continues to shape the future of distributed, intelligent systems.