Structural innovation incorporating bio-inspired composites poses a fresh angle to develop
novel lightweight forms with strengthened mechanical properties, among which a must …

Process monitoring and sensing is widely used across many industries for quality
assurance, and for increasing machine uptime and reliability. Though still in the emergent …

In swarm robotics multiple robots collectively solve problems by forming advantageous
structures and behaviors similar to the ones observed in natural systems, such as swarms of …

Intelligence of physical agents, such as human-made (eg, robots, autonomous cars) and
biological (eg, animals, plants) ones, is not only enabled by their computational intelligence …

Coverage path planning consists of finding the route which covers every point of a certain
area of interest. In recent times, Unmanned Aerial Vehicles (UAVs) have been employed in …

Convolutional neural networks (CNNs) have been applied to visual tasks since the late
1980s. However, despite a few scattered applications, they were dormant until the mid …

With the development of Raman spectroscopy and the expansion of its application domains,
conventional methods for spectral data analysis have manifested many limitations. Exploring …

Autonomous robots are expected to perform a wide range of sophisticated tasks in complex,
unknown environments. However, available onboard computing capabilities and algorithms …

The availability of large datasets has boosted the application of machine learning in many
fields and is now starting to shape active-matter research as well. Machine learning …

My major motivation to think about swarm robotics is the question of how probabilistic local
actions of small robots sum up to rational global patterns shown by the swarm. For the …