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Francesco Trotti

4 accepted papers

2026

Depth-Constrained ASV Navigation with Deep RL and Limited Sensing

ICRA 2026poster

Autonomous Surface Vehicles (ASVs) play a crucial role in maritime operations, yet their navigation in shallow-water environments remains challenging due to dynamic disturbances and depth constraints. Traditional navigation strategies struggle with limited sensor information, making safe and efficie…

2025

Depth-Constrained ASV Navigation With Deep RL and Limited Sensing

RA-L 2025

Autonomous Surface Vehicles (ASVs) play a crucial role in maritime operations, yet their navigation in shallow-water environments remains challenging due to dynamic disturbances and depth constraints. Traditional navigation strategies struggle with limited sensor information, making safe and efficie

Cited by 1SourceScholar
2025

Designing Control Barrier Function via Probabilistic Enumeration for Safe Reinforcement Learning Navigation

RA-L 2025

Achieving safe autonomous navigation systems is critical for deploying robots in dynamic and uncertain real-world environments. In this paper, we propose a hierarchical control framework leveraging neural network verification techniques to design control barrier functions (CBFs) and policy correctio

Cited by 3SourceScholar
2024

Path Re-Planning with Stochastic Obstacle Modeling: A Monte Carlo Tree Search Approach

IROS 2024poster

Path re-planning and repairing are key topics for robust planning and navigation in open dynamic environments, finding applications in various domains such as fleet control of Unmanned Ground Vehicles (UGVs) in warehouses. The use of UGVs in open and dynamic environments requires flexible cooperatio…

Cited by 1SourceScholar