In this paper, we propose a survey of the Simultaneous Localization And Map** (SLAM)
field when considering the recent evolution of autonomous driving. The growing interest …

Mobile robot navigation is typically regarded as a geometric problem, in which the robot's
objective is to perceive the geometry of the environment in order to plan collision-free paths …

Visual place recognition is a challenging problem due to the vast range of ways in which the
appearance of real-world places can vary. In recent years, improvements in visual sensing …

Learning from demonstration for motion planning is an ongoing research topic. In this paper
we present a model that is able to learn the complex map** from raw 2D-laser range …

Dynamically changing environments, unreliable state estimation, and operation under
severe resource constraints are fundamental challenges that limit the deployment of small …

Autonomous systems will play an essential role in many applications across diverse
domains including space, marine, air, field, road, and service robotics. They will assist us in …

Navigation is an essential capability for autonomous robots. In particular, visual navigation
has been a major research topic in robotics because cameras are lightweight, power …

This paper presents a Robust Constrained Learning-based Nonlinear Model Predictive
Control (RC-LB-NMPC) algorithm for path-tracking in off-road terrain. For mobile robots …

We present an extensive comparison between three topometric localization systems: radar-
only, lidar-only, and a cross-modal radar-to-lidar system across varying seasonal and …

In this article, we propose a complete and robust system for the aggressive flight of
autonomous quadrotors. The proposed system is built upon on the classical teach-and …