Robot autonomous navigation has become a vital area in the industrial development of
minimizing labor-intensive tasks. Most of the recently developed robot navigation systems …

Today, computer vision algorithms are very important for different fields and applications,
such as closed-circuit television security, health status monitoring, and recognizing a …

In order to improve the environmental perception ability of mobile robots during semantic
navigation, a three‐layer perception framework based on transfer learning is proposed …

LiDAR-based Simultaneous Localization And Mapping (SLAM), which provides
environmental information for autonomous vehicles by map building, is a major challenge …

Robot navigation allows robot mobility. Therefore, mobility is an area of robotics that has
been actively investigated since robots were first developed. In recent years, interest in …

A Multi-Agent Motion Prediction and Tracking method based on non-cooperative equilibrium
(MPT-NCE) is proposed according to the fact that some multi-agent intelligent evolution …

In the literature, several works are reported about the gait of bipedal robots. Some papers
are associated with stability or automatic learning and navigation, but no paper was found …

At present, the semantic information segmentation algorithms mainly include FCN (Fully
Convolutional Network), PSPNet (Pyramid Scene Parsing Network), Deeplab and so on. In …

Semantic information can express a large amount of knowledge in a simple way. Nowadays,
semantics has been applied to many aspects of robotics, such as path planning, search and …

Human imitation is suggested as a useful method for humanoid robots achieving daily life
tasks. When a person does demonstration such as housework many times, there is a …