Active simultaneous localization and map** (SLAM) is the problem of planning and
controlling the motion of a robot to build the most accurate and complete model of the …

In this paper, we present an active visual SLAM approach for omnidirectional robots. The
goal is to generate control commands that allow such a robot to simultaneously localize itself …

For active visual odometry (VO), the visual information detected by the positioning camera
matters. By actively controlling the gaze of the camera, the VO tends to retrieve some …

This paper presents an active gaze stabilization and control method for an omni-directional
robot. To isolate motion from the omni-directional robot base, a gimbal motor is utilized to …

This paper presents an actively gaze controlled LiDAR system for the omni-directional
wheeled robot, with this system, the LiDAR odometry drift caused by rapid rotation and …

Vision-based closed-loop detection can effectively eliminate the cumulative error of the
robot's visual odometer. The main closed-loop detection BOVW and Semantic research …

Accurate three-dimensional perception and tracking is a fundamentally important and
difficult challenge in computer vision. The accurate collection of 3D points is the key to …

Autonomous exploration in the unknown environment is a fundamental problem of robot
autonomy, however, it is always difficult to improve the efficiency of a robot to reconstruct its …