Insaf Sassi

Grenoble Images Parole Signal Automatique

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About

Insaf Sassi’s research lies at the intersection of robotics, wireless communications, and control systems, with a focus on understanding how network constraints affect the performance of mobile and networked robotic platforms. Her work addresses the critical challenge of integrating wireless networks into the control loops of Networked Control Systems (NCSs), where the stochastic nature of wireless communication can degrade the Quality of Control (QoC). In her widely cited 2017 paper, she systematically evaluates wireless network performance for networked robots, highlighting the trade-offs between communication reliability and control stability. Her 2016 study introduces a Bayesian network approach for diagnosing faults in networked mobile robots, a subclass of Wireless Networked Control Systems (WNCS) characterized by mobile nodes and wireless links. This work is notable for modeling the probabilistic dependencies introduced by mobility and communication uncertainty. Though early in her career, Sassi’s contributions are foundational for researchers designing robust, communication-aware control strategies for multi-robot systems, with her papers accumulating over 7 citations and serving as key references for those exploring the interplay between networking and autonomous robotics.