Multi-agent systems (MASs) has developed into an emerging complex system science and
gradually infiltrated into various fields of social life. The problem of consensus (ie all agents …

There are many sensor fusion frameworks proposed in the literature using different sensors
and fusion methods combinations and configurations. More focus has been on improving …

With the complex landform and climate in the Sichuan region, the need for practical and
scientific research production by only utilising the rainfall data derived from ground stations …

Autonomous navigation without external GNSS aiding is crucial for some kinds of land
vehicle applications, such as military vehicles and unmanned vehicles navigation under …

In order to solve the problem that the standard extended Kalman filter (EKF) algorithm has
large errors in Unmanned Aerial Vehicle (UAV) multi-sensor fusion localization, this paper …

In order to improve detection system robustness and reliability, multi-sensors fusion is used
in modern air combat. In this paper, a data fusion method based on reinforcement learning is …

In this paper, a fuzzy behavior-based approach for a three wheeled omnidirectional mobile
robot (TWOMR) navigation has been proposed. The robot has to track either static or …

In the context of the ubiquitous power Internet of Things (UPIoT), this paper attempts to make
full use of distributed new energy, and rationalize the energy management strategy of …

In this paper, we study the face recognition and emotion recognition algorithms to monitor
the emotions of preschool children. For previous emotion recognition focusing on faces, we …

In mobile robot localization with multiple sensors, myriad problems arise as a result of
inadequacies associated with each of the individual sensors. In such cases, methodologies …