5 papers
Chalito: An Extensible Library for Filtering-Based State Estimation in Quadruped Robots
Hilton Marques Souza Santana, João Carlos Virgolino Soares, Marco Antonio Meggiolaro +1
State estimation is essential for quadruped robots, enabling robust locomotion, navigation, and control. While many estimators have been proposed in the literature, existing implem…
Iterated Invariant EKF for 3D Landmark-Aided Inertial Navigation
Hilton Marques Souza Santana, João Carlos Virgolino Soares, Marco Antonio Meggiolaro
Inertial navigation systems aided by three-dimensional landmark measurements constitute a fundamental problem in robotic perception and state estimation. Classical SO(3)-based Exte…
Iterated Invariant EKF for Quadruped Robot Odometry
Hilton Marques Souza Santana, João Carlos Virgolino Soares, Sven Goffin +4
Kalman filter-based algorithms are fundamental for mobile robots, as they provide a computationally efficient solution to the challenging problem of state estimation. However, they…
Proprioceptive State Estimation for Quadruped Robots using Invariant Kalman Filtering and Scale-Variant Robust Cost Functions
Hilton Marques Souza Santana, João Carlos Virgolino Soares, Ylenia Nisticò +2
Accurate state estimation is crucial for legged robot locomotion, as it provides the necessary information to allow control and navigation. However, it is also challenging, especia…
Panoptic-SLAM: Visual SLAM in Dynamic Environments using Panoptic Segmentation
Gabriel Fischer Abati, João Carlos Virgolino Soares, Vivian Suzano Medeiros +2
The majority of visual SLAM systems are not robust in dynamic scenarios. The ones that deal with dynamic objects in the scenes usually rely on deep-learning-based methods to detect…