Sample preparation is crucial for reliable and confident analytical methods, ensuring
selective enrichment, clean-up, and removal of matrix interferents. However, it often involves …

Robots have been heavily utilized in many industries, including education. However, the
determinants driving robot adoption for educational purposes, particularly in develo** …

This article explores the challenges of continuum and magnetic soft robotics for medical
applications, extending from model development to an interdisciplinary perspective. First, we …

Affective computing, also known as emotional artificial intelligence (AI), is an emerging and
cutting-edge field of AI research. It draws on computer science, engineering, psychology …

Self-driving,'autonomous' vehicles (AVs) promise to change the world in profound ways. The
suggested benefits include safety, efficiency and accessibility. However, researchers and …

Problems framed as societal challenges have provided fresh impetus for transdisciplinary
research. In response, funders have started programmes aimed at increasing …

Social robotic platforms are increasingly entering into human social practices, but to date the
question of control and direction of innovation processes surrounding social robotics is still …

Self-driving (or 'autonomous') vehicles (AVs) represent a profound test case for artificial
intelligence in open, unpredictable contexts. Many cities have played host to trials of self …

Educational robotics (ER) has the potential to be a novel approach to teaching geohazards
such as earthquakes at the college level. ER, which provides learners with problem-solving …

The severity of road accidents is a big problem around the world, particularly in develo**
countries. Recognizing the major contributing variables can help reduce the severity of traffic …