Antonio Cricenti

About

Antonio Cricenti is a leading researcher in cloud robotics, with a focus on optimizing task offloading for smart city and smart factory applications. His work addresses the critical challenge of enabling autonomous robots to leverage cloud computing resources efficiently, balancing computation, communication, and energy constraints. His most-cited paper (60 citations) introduces a communication-aware framework for cloud robotic task offloading in smart factory maintenance, a key contribution to Industry 4.0. He has also developed optimal offloading strategies for smart city crowd control and multi-robot systems, with several papers accumulating over 30 citations each. Cricenti’s research uniquely integrates motion and connectivity awareness into offloading decisions using genetic algorithms, demonstrating practical solutions for real-world deployment. His work has been instrumental in advancing the paradigm of cloud-enhanced robotics, where robots collaborate with IoT infrastructure to improve productivity and reduce human intervention. With a consistent record of high-impact publications, Cricenti is recognized for bridging theoretical optimization with applied robotics in dynamic environments.

Research Focus

Key Achievements

Top Papers

1. 1
   Communication-Aware Cloud Robotic Task Offloading With On-Demand Mobility for Smart Factory Maintenance

   60 citations · 2018
2. 2
   A Cloud Robotics Framework of Optimal Task Offloading for Smart City Applications

   34 citations · 2016
3. 3
   Energy-efficient optimal task offloading in cloud networked multi-robot systems

   34 citations · 2019
4. 4
   Motion and Connectivity Aware Offloading in Cloud Robotics via Genetic Algorithm

   27 citations · 2017
5. 5
   Cloud-Enhanced Robotic System for Smart City Crowd Control

   23 citations · 2016

Key Collaborators

Contact & Links