Abstract Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …

Gaze target detection aims to predict the image location where the person is looking and the
probability that a gaze is out of the scene. Several works have tackled this task by regressing …

The U-shaped encoder–decoder architecture based on CNNs has been rooted in salient
object detection (SOD) tasks, and it have revealed two drawbacks while driving the rapid …

The advances in construction robotics in recent decades has been a powerful driver of
construction automation. User-friendly interfaces to support human–robot work collaboration …

Gaze-Following aims to predict the gaze target of a subject within an image, and information
on orientation and depth greatly improves this task. However, previous methods require …

Real‐time network by adopting attention mechanism is helpful for enhancing lane detection
capability of autonomous vehicles. This paper proposes a real‐time lane detection network …

The transition from manual to autonomous manufacturing processes, which has been
propelled by consecutive industrial revolutions, is concurrently contingent upon …

In recent years, research on three-dimensional (3D) reconstruction under low illumination
environment has been reported. Photon-counting integral imaging is one of the techniques …

Construction robots play a pivotal role in enabling intelligent processes within the
construction industry. User‐friendly interfaces that facilitate efficient human–robot …

Quality of Experience (QoE) in multi-view streaming systems is known to be severely
affected by the latency associated with view-switching procedures. Anticipating the …