Robotics and neuroscience are sister disciplines that both aim to understand how agile,
efficient, and robust locomotion can be achieved in autonomous agents. Robotics has …

Traditional joint-link robots have been widely used in production lines because of their high
precision for single tasks. With the development of the manufacturing and service industries …

Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

Objective: This paper is to analyze the performance of the control system of collaborative
robots based on cognitive computing technology. Methods: This study combines cognitive …

Designing a robot system with reasoning and learning ability has gradually become a
research focus in robotics research field. Recently, Skill Transfer Learning (STL), ie, the …

The Industry 4.0 initiative has been showing the way for industrial production to optimize
operations based on collecting, processing, and sharing data. There are new requirements …

Artificial intelligence (AI), a well-known subject of computer science, has several therapeutic
applications, including the analysis of intricate medical data and the extraction of significant …

A spiking neural network model inspired by synaptic pruning is developed and trained to
extract features of hand-written digits. The network is composed of three spiking neural …

Research studies on social robotics and human-robot interaction have gained insights into
factors that influence people's perceptions and behaviors towards robots. However, adults' …

Enabling household robots to passively learn task-level skills from human demonstration
could substantially boost their application in daily life. In this letter, we propose a Learning …