The operation of mobile manipulators in a collaborative environment needs to be adapted to
the characteristics and skills of human operators. Human activity recognition, utilizing …

Human activity recognition (HAR) is a wide research topic in a field of computer science.
Improving HAR can lead to massive breakthrough in humanoid robotics, robots used in …

Manufacturing industries are eager to replace traditional robot manipulators with
collaborative robots due to their cost-effectiveness, safety, smaller footprint and intuitive user …

Human activity recognition is commonly used in several Internet of Things applications to
recognize different contexts and respond to them. Deep learning has gained momentum for …

Today, the society is flourishing with the involvement of digital twin technology and the
advancement of human action technology. Researchers from various fields are interested in …

Molds are still assembled manually because of frequent demand changes and the
requirement for comprehensive knowledge related to their high flexibility and adaptability in …

In recent years, smart workplaces that adapt to human activity and motion behavior have
been proposed for cognitive production systems. In this respect, methods for identifying the …

Human activity recognition is done based on the observation and analysis of human
behavior to understand the performed activity. With the emergence of battery powered, low …

Robotic technology can benefit disassembly operations by reducing human operators'
workload and assisting them with handling hazardous materials. Safety consideration and …

The multiple target point search is an important and universal problem in multi-robot
systems. However, many traditional multi-robot systems can not ensure the reliability of …