Autonomous vehicles (AV) are expected to improve, reshape, and revolutionize the future of
ground transportation. It is anticipated that ordinary vehicles will one day be replaced with …

This paper presents a comprehensive review of state-of-the-art navigation methods
available for unmanned aerial vehicles (UAVs) used in parcel delivery. Particularly, the …

This paper discusses a digital twin-based approach for designing and redesigning flexible
assembly systems. The digital twin allows modeling the parameters of the production system …

In this paper, a brain-like navigation scheme based on fuzzy kernel C-means (FKCM)
clustering assisted pyramid Lucas Kanade (LK) optical flow algorithm is developed to …

We discuss state-of-the-art intelligent robotic aircraft with the special focus on evolutionary
autopilots for small unmanned aerial vehicles (UAVs). Under the umbrella of adaptive …

This survey paper presents a holistic perspective on the state-of-the-art in the design of
guidance, navigation, and control systems for autonomous multi-rotor small unmanned …

Modern smartphones and smartwatches are equipped with inertial sensors (accelerometer,
gyroscope, and magnetometer) that can be used for Human Activity Recognition (HAR) to …

In mobile augmented/virtual reality (AR/VR), real-time 6-Degree of Freedom (DoF) motion
tracking is essential for the registration between virtual scenes and the real world. However …

The ever-growing development of sensor technology has led to the use of multimodal
sensors to develop robotics and automation systems. It is therefore highly expected to …

Human pose estimation provides valuable information for biomedical research on human
movement and applications, such as entertainment and physical exercise. The fusion of …