1 citations · 2 across the 5 of their papers we have counts for
5 papers
Human-Inspired Pavlovian and Instrumental Learning for Autonomous Agent Navigation
Jingfeng Shan, Francesco Guidi, Mehrdad Saeidi +8
Autonomous agents operating in uncertain environments must balance fast responses with goal-directed planning. Classical MF RL often converges slowly and may induce unsafe explorat…
A Cognitive Framework for Autonomous Agents: Toward Human-Inspired Design
Francesco Guidi, Jingfeng Shan, Mehrdad Saeidi +8
This work introduces a human-inspired reinforcement learning (RL) architecture that integrates Pavlovian and instrumental processes to enhance decision-making in autonomous systems…
Multi-Target Acquisition in Multistatic MIMO-OFDM Joint Sensing and Communication
Elisabetta Matricardi, Lorenzo Pucci, Elia Favarelli +2
In this work, we investigate a multistatic MIMO-OFDM joint sensing and communication (JSC) system that leverages cooperation among spatially distributed base stations (BSs) to dete…
Sensor Fusion and Resource Management in MIMO-OFDM Joint Sensing and Communication
Elia Favarelli, Elisabetta Matricardi, Lorenzo Pucci +3
This study explores the promising potential of integrating sensing capabilities into multiple-input multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM)-based n…
Multi-Base Station Cooperative Sensing with AI-Aided Tracking
Elia Favarelli, Elisabetta Matricardi, Lorenzo Pucci +3
In this work, we investigate the performance of a joint sensing and communication (JSC) network consisting of multiple base stations (BSs) that cooperate through a fusion center (F…