Recent transformer-based solutions have shown great success in 3D human pose
estimation. Nevertheless, to calculate the joint-to-joint affinity matrix, the computational cost …

Recent transformer-based solutions have been introduced to estimate 3D human pose from
2D keypoint sequence by considering body joints among all frames globally to learn spatio …

This paper presents a novel Kinematics and Trajectory Prior Knowledge-Enhanced
Transformer (KTPFormer) which overcomes the weakness in existing transformer-based …

In the context of a growing interest in modelling human behavior to increase the robots'
social abilities, this article presents a survey related to socially-aware robot navigation. It …

Many navigation systems, including the ubiquitous ROS navigation stack, perform path-
planning on a single costmap, in which the majority of information is stored in a single grid …

We present a systematic survey of computational research in humanrobot interaction (HRI)
over the past decade. Computational HRI is the subset of the field that is specifically …

When applying a pre-trained 2D-to-3D Human Pose lifting model to a target unseen dataset,
a large performance degradation is commonly encountered due to domain shift issues. We …

Camera captured human pose is an outcome of several sources of variation. Performance of
supervised 3D pose estimation approaches comes at the cost of dispensing with variations …

Despite significant progress, estimating 3D human poses from monocular videos remains a
challenging task due to depth ambiguity and self-occlusion. Most existing works attempt to …

Human–robot collision avoidance is a key in collaborative robotics and in the framework of
Industry 4.0. It plays an important role for achieving safety criteria while having humans and …