Machine learning (ML) is a branch of artificial intelligence that has been developing at a
dynamic pace in recent years. ML is also linked with Big Data, which are huge datasets that …

Neuromorphic electronics have great potential in the emulation of the sensory, cognitive, self-
learning, and actuating functions of robots. While typically implemented in rigid silicon …

Odometry is a simple and practical method that provides a periodic real-time estimation of
the relative displacement of a mobile robot based on the measurement of the angular …

The neuromorphic event cameras, which capture the optical changes of a scene, have
drawn increasing attention due to their high speed and low power consumption. However …

Event-based vision is an emerging field of computer vision that offers unique properties,
such as asynchronous visual output, high temporal resolutions, and dependence on …

Motion capture systems are crucial in developing multi-quadrotor systems due to their ability
to provide fast and accurate ground truth measurements for tracking and control. This paper …

Abstract Point-spread-function (PSF) engineering is a well-established computational
imaging technique that uses phase masks and other optical elements to embed extra …

Mobile service robots have become increasingly ubiquitous. However, these robots can
pose potential accessibility issues and safety concerns to people with visual impairments …

Near-eye gaze estimation is a task that maps the recording of an eye captured by an
adjacent camera to the direction of a person's gaze in space. In contrast to frame-based …

Facial recognition research is one of the different types of research in this world today. In
recent years, facial recognition in robots has attracted increased study interest. Robotic …