In order to implement more accurate and fine-grained monitoring of robot-environment
interaction (REI) in real time, this article extends the concept of digital twin (DT) to REI …

We present a three-level cognitive system in a learning by demonstration context. The
system allows for learning and transfer on the sensorimotor level as well as the planning …

Robotic grasping is one of the most important fields in robotics, in which great progress has
been made in recent years with the help of convolutional neural network (CNN). However …

To grasp the target object stably and orderly in the object-stacking scenes, it is important for
the robot to reason the relationships between objects and obtain intelligent manipulation …

Algorithms based on deep network models are being used for many pattern recognition and
decision-making tasks in robotics and AI. Training these models requires a large labeled …

Object manipulation in object-stacking scenes is a significant but challenging skill for
intelligent robots. In most cases, the relationships among objects should be considered …

Human activity understanding has attracted much attention in recent years, because it plays
a key role in a wide range of applications such as human–computer interfaces, visual …

Recognizing, reasoning about, and providing understandable descriptions of spatial
relations between objects is an important task for robots interacting with humans. This paper …

To facilitate the use of robots in small and medium-sized enterprises (SMEs), they have to be
easily and quickly deployed by non-expert users. Programming by Demonstration (PbD) is …

Learning from demonstration is an approach that allows users to personalize a robot's tasks.
While demonstrations often focus on conveying the robot's motion or task plans, they can …