The twenty-first century is undergoing a fundamental transition in the way things are created
and services are provided. The digitalization of services has resulted in a compelling, major …

Affordances describe the possibilities for an agent to perform actions with an object. While
the significance of the affordance concept has been previously studied from varied …

Robots deployed in many real-world settings need to be able to acquire new skills and solve
new tasks over time. Prior works on planning with skills often make assumptions on the …

Robot trajectory prediction is an essential part of building digital twin systems and ensuring
the high-performance navigation of IoT mobile robots. In the study, a novel two-stage multi …

Robot manipulators are robotic systems that are frequently used in automation systems and
able to provide increased speed, precision, and efficiency in the industrial applications. Due …

To deal with the threat from flying vehicles, it is of great significance to accurately predict the
flight trajectory of flying vehicles using the known historical position data. In this paper, we …

In the context of the rapid development of artificial intelligence in the Internet of Things, the
establishment of the Internet of Things can promote rapid progress in the field of artificial …

In recent years, graph neural networks have been successfully applied for learning the
dynamics of complex and partially observable physical systems. However, their use in the …

Pushing is an essential non-prehensile manipulation skill used for tasks ranging from pre-
grasp manipulation to scene rearrangement, reasoning about object relations in the scene …

To improve the space-time similarity and motion smoothness of facial expression imitation
(FEI), a real-time FEI method for a humanoid robot is proposed based on smooth-constraint …