Francesco Trotti

Orcid: 0000-0003-2446-3635

According to our database1, Francesco Trotti authored at least 12 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Depth-Constrained ASV Navigation With Deep RL and Limited Sensing.
IEEE Robotics Autom. Lett., December, 2025

Designing Control Barrier Function via Probabilistic Enumeration for Safe Reinforcement Learning Navigation.
IEEE Robotics Autom. Lett., October, 2025

Geometric methods for aircraft planning and control.
Robotics Auton. Syst., 2025

Enhancing safety and explainability of reinforcement learning agents for environmental monitoring tasks.
Proceedings of the Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, 2025

2024
Developing safe and explainable autonomous agents: from simulation to the real world.
Proceedings of the Ital-IA Intelligenza Artificiale, 2024

Path Re-Planning with Stochastic Obstacle Modeling: A Monte Carlo Tree Search Approach.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

A Markov Decision Process Approach for Decentralized UAV Formation Path Planning.
Proceedings of the European Control Conference, 2024

Towards Aircraft Autonomy Using a POMDP-Based Planner.
Proceedings of the American Control Conference, 2024

2023
Safe and Efficient Reinforcement Learning for Environmental Monitoring.
Proceedings of the Italia Intelligenza Artificiale, 2023

An online path planner based on POMDP for UAVs.
Proceedings of the European Control Conference, 2023

2022
Synthesis and Monitoring of Complex Tasks for Heterogeneous Robots in an Industry 4.0 Scenario.
Proceedings of the Intelligent Autonomous Systems 17, 2022

2021
A Modified Recursive Newton-Euler Algorithm Embedding a Collision Avoidance Module.
Proceedings of the 2021 European Control Conference, 2021


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