We survey research on self-driving cars published in the literature focusing on autonomous
cars developed since the DARPA challenges, which are equipped with an autonomy system …

Representing the environment is a fundamental task in enabling robots to act autonomously
in unknown environments. In this work, we present confidence-rich mapping (CRM), a new …

Most of the recent automated driving systems assume the accurate functioning of
localization. Unanticipated errors cause localization failures and result in failures in …

This paper presents a LiDAR-based 3D Monte Carlo localization (MCL) with an efficient
distance field (DF) representation method. To implement 3D MCL, high computing capacity …

Volumetric maps are widely used in robotics due to their desirable properties in applications
such as path planning, exploration, and manipulation. Constant advances in mapping …

Lifelong mapping presents unique challenges to household robots which operate in the
same environment over long durations. One is the growth of redundant information in the …

Occupancy mapping enables a mobile robot to make intelligent planning decisions to
accomplish its tasks. Adaptive local maps is an algorithm which represents the occupancy …

Roadmap is important in typical robotic applications and it is not a trivial task to obtain in
unknown space. In this paper, we propose a novel approach to calculate the roadmap that is …

A mobile robot equipped with a range sensor can create a map of its environment given the
range measurements and corresponding robot pose (s). These maps, although not perfect …

Human-robot collaboration (HRC) is a field that studies how to combine the strengths of
humans and robots to perform joint tasks. A crucial element of any successful collaboration …