In some complex conditions, autonomous vehicles (AVs) have to make human-like
decisions, in which traffic regulation enforcement and social intelligence are essential. It is …

Safe and human‐like trajectory planning is crucial for self‐driving cars. While model‐based
planning has demonstrated reliability, it is beneficial to incorporate human demonstrations …

To address the shortcomings of the classical RRT (Rapidly exploring Range Tree) path
planning algorithm, such as long planning time and path curvature in some narrow and …

Abstract Automated Guided Vehicles (AGV) are an essential element of transport in industry
4.0. Although they may seem simple systems in terms of their kinematics, their dynamics is …

This paper proposes an adaptive behavioral decision-making method for autonomous
vehicles (AVs) focusing on complex merging scenarios. Leveraging principles from non …

Decision-making is a crucial task for autonomous driving. Taking the wrong decision might
cause a cartographical accident. Decision-making implies planning the appropriate …

The development of human-robot interaction has been continuously increasing for the last
decades. Through this development, it has become simpler and safe interactions using a …

The collision avoidance system in an autonomous vehicle, intended to address traffic safety
issues, has a crucial function called collision estimation. It accomplishes this by identifying …

Self-driving cars are poised to transform transportation, but ensuring safe and reliable
autonomous driving via robust object detection remains a critical challenge. This review …

Featured Application Telepresence robot is useful for remote applications, healthcare and
remote sensing. Abstract Background: The development of telepresence robots is getting …