In a human-robot coexisting environment, reaching the target place efficiently and safely is
pivotal for a mobile service robot. In this paper, a Risk-based Dual-Tree Rapidly exploring …

Recent trends envisage robots being deployed in areas deemed dangerous to humans,
such as buildings with gas and radiation leaks. In such situations, the model of the …

In this article, we propose a novel safety specification tool, called the distributionally robust
risk map (DR-risk map), for a mobile robot operating in a learning-enabled environment …

This study develops a novel sampling-based path planning approach, simultaneously
achieving uncertainty reduction of localization and avoidance of dynamic obstacles. The …

This article introduces a multimetric multiconstraint strategic path planning framework
applicable to unstructured urban airspace. The planner is based on a modular and scalable …

Human-aware path planner is essential for achieving harmonious coexistence between
humans and robots in highly dynamic environments. In this paper, we propose an integrated …

The real-time path planning of unmanned aerial vehicles (UAVs) in dynamic environments
with moving threats is a difficult problem. To solve this problem, this paper proposes a time …

This work is dedicated to the study of how uncertainty estimation of the human motion
prediction can be embedded into constrained optimization techniques, such as Model …

Abstract Reasoning about probabilistic outcomes on stochastic models is of essence to
safety-critical systems. In this paper we focus on risk-aware collision avoidance approaches …

The pedestrians in human-robot coexisting environments introduce many challenges to the
motion planning of mobile service robots. Besides the problems of minimizing the runtime of …