Paolo Sernani

About

Paolo Sernani’s research centers on intelligent autonomous systems, cyber-physical systems, and ambient assisted living (AAL). He has made key contributions to the design of frameworks that integrate real-time operating systems with multi-agent architectures, enabling robots to navigate, map, and interact safely in human environments. His work on hierarchical hybrid models for cyber-physical systems addresses the challenge of incorporating AI algorithms into time-critical applications like healthcare and traffic control. Sernani also advanced AAL by using 3D simulators to test smart home environments, reducing the need for costly real-world trials. His noise-robust obstacle detection algorithm for mobile robots, using active 3D sensors, enhances safety in human-robot interaction. With over 30 citations across his most-cited papers, Sernani’s impact is evident in robotics competitions and practical applications. Notably, his touchless interaction system for wireless mobile robots demonstrates a commitment to accessible, real-time control. His work bridges AI, robotics, and smart environments, offering practical solutions for autonomous systems in everyday life.

Research Focus

Key Achievements

Top Papers

1. 1
   A framework based on real-time OS and multi-agents for intelligent autonomous robot competitions

   13 citations · 2016
2. 2
   A hierarchical hybrid model for intelligent cyber-physical systems

   7 citations · 2013
3. 3
   Using 3D simulators for the Ambient Assisted Living

   6 citations · 2014
4. 4
   A noise-robust obstacle detection algorithm for mobile robots using active 3D sensors

   3 citations · 2014
5. 5
   Exploiting a Touchless Interaction to Drive a Wireless Mobile Robot Powered by a Real-time Operating System.

   2 citations · 2016

Key Collaborators

Contact & Links