6 papers
Sim-to-Real Transfer and Robustness Evaluation of Reinforcement Learning Control with Integrated Perception on an ASV for Floating Waste Capture
Luis F. W. Batista, Stéphanie Aravecchia, Cédric Pradalier
Autonomous surface vessels for floating-waste removal operate under varying hydrodynamics, external disturbances, and challenging water-surface perception. We present a field-valid…
Validation methodology on real data of reversible Kalman Filter for state estimation with Manifold
Svyatoslav Covanov, Cedric Pradalier
This work extends a previous study that introduced an algorithm for state estimation on manifolds within the framework of the Kalman filter. Its objective is to address the limitat…
Reversible Kalman Filter for state estimation with Manifold
Svyatoslav Covanov, Cedric Pradalier
This work introduces an algorithm for state estimation on manifolds within the framework of the Kalman filter. Its primary objective is to provide a methodology enabling the evalua…
Towards Efficient Occupancy Mapping via Gaussian Process Latent Field Shaping
Cedric Le Gentil, Cedric Pradalier, Timothy D. Barfoot
Occupancy mapping has been a key enabler of mobile robotics. Originally based on a discrete grid representation, occupancy mapping has evolved towards continuous representations th…
Guaranteed Reach-Avoid for Black-Box Systems through Narrow Gaps via Neural Network Reachability
Long Kiu Chung, Wonsuhk Jung, Srivatsank Pullabhotla +6
In the classical reach-avoid problem, autonomous mobile robots are tasked to reach a goal while avoiding obstacles. However, it is difficult to provide guarantees on the robot's pe…
SPVSoAP3D: A Second-order Average Pooling Approach to enhance 3D Place Recognition in Horticultural Environments
T. Barros, C. Premebida, S. Aravecchia +2
3D LiDAR-based place recognition has been extensively researched in urban environments, yet it remains underexplored in agricultural settings. Unlike urban contexts, horticultural…