From the 1 of 7 linked papers with an AI index.
7 papers
Unifying Decision-Making and Trajectory-Planning in Unsignalized Intersections Using Time-Varying Potential Fields
David Costa, Francesco Cerrito, Massimo Canale +1
The paper proposes a unified framework that combines decision‑making and trajectory planning for automated vehicles at unsignalized intersections using a finite‑horizon optimal con…
A Finite-Gain Stability Approach to NMPC Design: the Extended Version
Carlo Novara, Mattia Boggio, Lorenzo Calogero +1
This paper proposes a novel approach to design of Nonlinear Model Predictive Control (NMPC) schemes based on Finite-Gain Stability (FGS) concepts. The proposed formulation consider…
EOS-Bench: A Comprehensive Benchmark for Earth Observation Satellite Scheduling
Qian Yin, Jiaxing Li, Jiaqi Cheng +23
Earth observation satellite imaging scheduling is a challenging NP-hard combinatorial optimisation problem central to space mission operations. While next-generation agile Earth ob…
Unifying Decision Making and Trajectory Planning in Automated Driving through Time-Varying Potential Fields
David Costa, Francesco Cerrito, Massimo Canale +1
This paper proposes a unified decision making and local trajectory planning framework based on Time-Varying Artificial Potential Fields (TVAPFs). The TVAPF explicitly models the pr…
A Quantum-Compliant Formulation for Network Epidemic Control
Lorenzo Zino, Mattia Boggio, Deborah Volpe +3
We deal with controlling the spread of an epidemic disease on a network by isolating one or multiple locations by banning people from leaving them. To this aim, we build on the sus…
A Quantum Approach for Optimal Transient Control in Network-Based Epidemic Models
Deborah Volpe, Giacomo Orlandi, Mattia Boggio +3
Effective epidemic control is crucial for mitigating the spread of infectious diseases, particularly when pharmaceutical interventions such as vaccines or treatments are limited. N…