In recent years, automatic mobile robots (AMRs) have been widely concerned in various
fields, such as material handling, unmanned aerial vehicle (UAV) cruise, automatic factories …

The achievement of robot autonomy has environmental perception as a prerequisite. The
hazards rendered from uneven, soft and slippery terrains, which are generally named non …

Abstract Vibration-based Robotic Ground Classification (V-RGC) is an ability of a field robot
identifying the ground types (eg, grass and clay) according to the proprioceptive vibration …

The accurate and reliable high-altitude orientation estimation is of great significance for
unmanned aerial vehicles (UAVs) localization, and further assists them to conduct some …

Finding an alternative way to replace the magnetic compass to determine the robot heading
angle indoor is always a challenge in the robotics society. This brief proposes a structurally …

The accurate terrain classification in real time is of great importance to an autonomous robot
working in field, because the robot could avoid non-geometric hazards, adjust control …

Due to the potential hazards of traversing the field ground, the robotic ground classification
(RGC) has been widely concerned and extensively studied in environmental perception …

Achieving target information measurement without increasing the amount of data processing
is an important while difficult issue in computer vision. In this paper, we present a target's …

Existing optical theory states that the light directed to the optical center of the convex lens
will travel in a straight line. Does the theory hold? If this is true, then why the images formed …