As there come to be more applications of intelligent robots, their task object is becoming
more varied. However, it is still a challenge for a robot to handle unfamiliar objects. We …

Uncertain factors in environments restrict the intelligence level of industrial robots. Based on
deep reinforcement learning, a skill-acquisition method is used to solve the posed problems …

Small-scale production is relying more and more on personalization and flexibility as an
innovation key for success in response to market needs such as diversification of consumer …

This paper presents an approach to describe abilities of manufacturing resources by a
formal description of capabilities using Semantic Web technologies. A hierarchical ontology …

The construction industry's traditional hoisting system always needs workers to complete the
tasks involved, with concomitant extra labor costs and attention to the workers' safety. This …

There is a paradigm shift in current manufacturing needs that is causing a change from the
current mass-production-based approach to a mass customization approach where …

In the context of Industry 4.0, flexible manufacturing systems play an important role. They are
designed to provide the possibility to adapt the production process by reacting to changes …

Recent intuitive robot programming approaches operate on task level, enabling
programmers to intuitively arrange or compose encapsulating robot capabilities (skills). This …

At present, the sorting of agricultural products in China mainly relies on manual labour,
which results in low efficiency, and the development of corresponding automatic equipment …

Modern, flexible, and easy-to-use robotic technologies have the potential to support
companies to increase their productivity within today's dynamic and volatile production. In …