Mateus Valverde Gasparino

Orcid: 0000-0001-7900-8061

According to our database1, Mateus Valverde Gasparino authored at least 14 papers between 2021 and 2024.

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Bibliography

2024
W-RIZZ: A Weakly-Supervised Framework for Relative Traversability Estimation in Mobile Robotics.
IEEE Robotics Autom. Lett., June, 2024

Under-canopy dataset for advancing simultaneous localization and mapping in agricultural robotics.
Int. J. Robotics Res., 2024

Lessons from Deploying CropFollow++: Under-Canopy Agricultural Navigation with Keypoints.
CoRR, 2024

WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Under-Canopy Navigation for an Agricultural Rover Based on Image Data.
J. Intell. Robotic Syst., 2023

Deep Model Predictive Control.
CoRR, 2023

ApproxCaliper: A Programmable Framework for Application-aware Neural Network Optimization.
Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Navigating with Finesse: Leveraging Neural Network-based Lidar Perception and iLQR Control for Intelligent Agriculture Robotics.
Proceedings of the Latin American Robotics Symposium, 2023

CropNav: a Framework for Autonomous Navigation in Real Farms.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Unmatched Uncertainty Mitigation Through Neural Network Supported Model Predictive Control.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Multi-Sensor Fusion based Robust Row Following for Compact Agricultural Robots.
Field Robotics, March, 2022

WayFAST: Navigation With Predictive Traversability in the Field.
IEEE Robotics Autom. Lett., 2022

WayFAST: Traversability Predictive Navigation for Field Robots.
CoRR, 2022

2021
Learned Visual Navigation for Under-Canopy Agricultural Robots.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021


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