The ability of intelligent unmanned platforms to achieve autonomous navigation and
positioning in a large-scale environment has become increasingly demanding, in which …

Currently, there is an intensive development of bipedal walking robots. The most known
solutions are based on the use of the principles of human gait created in nature during …

We propose Super Odometry, a high-precision multi-modal sensor fusion framework,
providing a simple but effective way to fuse multiple sensors such as LiDAR, camera, and …

We present an efficient multi-sensor odometry system for mobile platforms that jointly
optimizes visual, lidar, and inertial information within a single integrated factor graph. This …

We present visual inertial lidar legged navigation system (VILENS), an odometry system for
legged robots based on factor graphs. The key novelty is the tight fusion of four different …

After decades of development, LIDAR and visual SLAM technology has relatively matured
and been widely used in the military and civil fields. SLAM technology enables the mobile …

Abstract Visual Simultaneous Localization and Map** (VSLAM) technology has become a
key technology in autonomous driving and robot navigation. Relying on camera sensors …

Purpose of review In recent years, legged robots locomotion has been transitioning from
mostly flat ground in controlled settings to generic indoor and outdoor environments …

In the face of large-scale environmental map** requirements, through the use of
lightweight and inexpensive robot groups to perceive the environment, the multi-robot …

This paper introduces a novel proprioceptive state estimator for legged robots based on a
learned displacement measurement from IMU data. Recent research in pedestrian tracking …