Antonio Terán Espinoza — accepted AI-conference papers

2024

Boundary Factors for Seamless State Estimation between Autonomous Underwater Docking Phases

Aldo Terán Espinoza, Antonio Terán Espinoza, John Folkesson, Peter Sigray, Jakob Kuttenkeuler

ICRA 2024poster

Autonomous underwater docking is of the utmost importance for expanding the capabilities of Autonomous Underwater Vehicles (AUVs). Due to a historical focus on underwater docking to only static targets, the research gap in underwater docking to dynamically active targets has been left relatively unt…

Cited by 0 Source ↗Scholar ↗

2023

Feature-Based Scanning LiDAR-Inertial Odometry Using Factor Graph Optimization

Timothy P. Setterfield, Robert A. Hewitt, Antonio Terán Espinoza, Po-Ting Chen

RA-L 2023

Localization of a mobile robot in the absence of an absolute position sensor often relies on techniques such as visual or lidar-inertial odometry. While lidar has many advantages, the most capable sensors use scanning mechanisms, leading to motion-distorted scans. Previous strategies used to account

Cited by 17 Source ↗Scholar ↗