Existing methods for fall detection may not detect a fall when it occurs or may generate a
false alarm when a fall does not occur. In order to overcome these limitations and detect falls …

Realtime localization and map** in a cluttered and noisy indoor environment is a major
problem in autonomous unmanned ground vehicle (UGV) navigation. this article proposes a …

To reduce the labor effort in hazardous environments like spray painting, an automatic car
part spray painting machine has been set up. This article presents an intelligent location …

Point cloud registration is a fundamental task in many applications such as localization,
map**, tracking, and reconstruction. Successful registration relies on extracting robust and …

The industrial robotics market is predicted to grow to USD 75.3 billion by 2026, at a rate of
12.3% per year. A key driver of this growth is Industry 4.0 digitization, often known as the …

The aim of this paper is to develop an absolute visual localization system of an Omni
wheeled robot for indoor navigation. Omni wheeled based robots have omni directional …

For human gesture recognition applications, 3D-sensor-based approaches have received
considerable attention and are crucial for future applications of an advanced body sensor …

Simultaneous Localization and Map** (SLAM) has always been a fundamental and
central issue for mobile robots. At present, Rao-Blackwellized particle filter (RBPF) is a …

The forecasting for indoor mobile robot position is a key factor affecting the safety of the
robot navigation system and its operation. Combining with mobile robot position big data, it …

With the development of artificial intelligence, the application of robots is also rapidly
increasing. How to autonomously navigate and complete complex tasks for robots in an …