Articles
Autonomous Navigation
Proactive Guidance for Accurate UAV Landing on a Dynamic Platform: A Visual–Inertial Approach
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Autonomous Navigation
Agile Off-Road TerrainTraversal of an Ackermann Steered Platform using Deep Reinforcement Learning
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Autonomous Navigation
Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation
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Mobile Manipulation and Deep Learning
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
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Mobile Manipulation and Deep Learning
Multimodal Immersive Digital Twin Platform for Cyber–Physical Robot Fleets in Nuclear Environments
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Mapping
Coarse-to-fine Hybrid 3D Mapping System with Co-calibrated Omnidirectional Camera and Non-repetitive LiDAR
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Mapping
Combining LiDAR SLAM and Deep Learning-Based People Detection for AutonomousIndoor Mapping in a Crowded Environment
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SLAM/VSLAM
SLAM/VSLAM
S3E: A Large-Scale Multimodal Dataset for Collaborative SLAM Online Localization and Colored Mesh Reconstruction Architecture for 3D Visual Feedback in Robotic Exploration Missions
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SLAM/VSLAM
Ground-Challenge: A Multi-Sensor SLAM Dataset Focusing on Corner Cases for Ground Robots
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SLAM/VSLAM
Combining LiDAR SLAM and Deep Learning-Based People Detection for Autonomous Indoor Mapping in a Crowded Environment
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SLAM/VSLAM
Experimental Evaluation and Comparison of LiDAR SLAM Algorithms for Mobile Robotics
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Autonomous Driving and Path Planning
Autonomous Driving and Path Planning
Multi-Task Option Learning and Discovery for Stochastic Path Planning
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Autonomous Driving and Path Planning
Energy Sufficiency inUnknown Environments via Control Barrier Functions
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Autonomous Driving and Path Planning
Development of AutonomousDriving Patrol Robot for Improving Underground Mine Safety
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Autonomous Driving and Path Planning
putn: A Plane-Fitting BasedUneven Terrain Navigation Framework
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Autonomous Driving and Path Planning
Optimal Control ofConnected Automated Vehicles with Event-Triggered Control Barrier Functions: ATest Bed for Safe Optimal Mergin
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some additional articles that we recently published using AgileX robots.
University of Udine, Italy，Robotics and Mechatronics Lab
SLAM-Based Mapping
Scalera, L., et al. (2026). Forest Surveying with Robotics and AI: SLAM-Based Mapping, Terrain-Aware Navigation, and Tree Parameter Estimation. Machines, 14(1), 99.
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Mapping
Scalera, L., et al. (2025). Mobile Robotics for Forest Monitoring and Mapping Within the AI4FOREST Project. In International Conference Mechanical Engineering Solutions: Design, Simulation, Testing, Manufacturing (pp. 279-288). Cham: Springer Nature Switzerland.
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3D Mapping
Tiozzo Fasiolo, D., Scalera, L., Maset, E., Gasparetto, A. (2025). The FriûlBot dataset: Experimental validation of an autonomous ground robot for vineyard 3D mapping. Robotics and Autonomous Systems, 105283.
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Navigation
Tiozzo Fasiolo, D., Scalera, L., Maset, E., Gasparetto, A. (2025). Field Evaluation of an Autonomous Mobile Robot for Navigation and Mapping in Forest. Robotics, 14(7), 89.
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Autonomous
Tiozzo Fasiolo, D., et al. (2025). A Navigation Approach for Autonomous Mobile Robots in Sustainable Agriculture. In International Workshop IFToMM for Sustainable Development Goals (pp. 399-408). Cham: Springer Nature Switzerland.
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Navigation
Tiozzo Fasiolo, D., Pichierri, A., Sivilotti, P., Scalera, L. (2023). An analysis of the effects of water regime on grapevine canopy status using a UAV and a mobile robot. Smart Agricultural Technology, 6, 100344.
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Mapping
Tiozzo Fasiolo, D., Scalera, L., Maset, E., Gasparetto, A. (2024). Robotic Mapping and Detection of Dynamic Objects in Outdoor Environments. In European Conference on Mechanism Science (pp. 245-252). Cham: Springer Nature Switzerland.
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