This review article offers an in-depth analysis of cooperative motion planning and control in
aerial-ground autonomous systems, emphasizing their methods and applications. It explores …

Providing mobile robots with autonomous capabilities is advantageous. It allows one to
dispense with the intervention of human operators, which may prove beneficial in economic …

Rapidly-exploring random trees (RRTs) are popular in motion planning because they find
solutions efficiently to single-query problems. Optimal RRTs (RRT* s) extend RRTs to the …

Motion planning is a fundamental research area in robotics. Sampling-based methods offer
an efficient solution for what is otherwise a rather challenging dilemma of path planning …

In this paper we present a novel probabilistic sampling-based motion planning algorithm
called the Fast Marching Tree algorithm (FMT*). The algorithm is specifically aimed at …

Motion planning is critical to realize the autonomous operation of mobile robots. As the
complexity and randomness of robot application scenarios increase, the planning capability …

In this work, we propose a search-based planning method to compute dynamically feasible
trajectories for a quadrotor flying in an obstacle-cluttered environment. Our approach …

Autonomous underwater vehicles (AUVs) have been widely employed in ocean survey,
monitoring, and search and rescue tasks for both civil and military applications. It is …

This survey paper explores the emergent domain of electric vertical takeoff and landing
vehicles (eVTOLs), emphasizing the critical role of autonomous navigation capabilities …

Dynamic environments have obstacles that unpredictably appear, disappear, or move. We
present the first sampling-based replanning algorithm that is asymptotically optimal and …