When applied in building rescue, forest search and other missions, UAV swarms often
encounter challenges such as narrow space constraints and dynamic changes of obstacles …

Safety verification in motion planning is known to be computationally burdensome, despite
its importance in robotics. In this paper, we investigate the behavior of safe receding horizon …

The path planning strategy of deep-sea mining vehicles is an important factor affecting the
efficiency of deep-sea mining missions. However, the current traditional path planning …

Motion planning techniques for quadrotors have advanced significantly over the past
decade. Most successful planners have two stages: a front-end that determines a path that …

Generating dynamically feasible trajectory for fixed-wing Unmanned Aerial Vehicles (UAVs)
in dense obstacle environments remains computationally intractable. This paper proposes a …

Spatial planning in cluttered environments is crucial for mobile systems, particularly agile
quadrotors. Existing methods, both optimization-based and learning-based, often focus only …

We offer a perception-aware quadrotor translation and yaw angle planner approach to solve
the navigation problem for a quadrotor with limited field of view (FOV) in unpredictable …

In this paper, we introduce an algorithm designed to address the problem of time-optimal
formation reshaping in three-dimensional environments while preventing collisions between …

This paper proposes an efficient online trajectory planning system for unmanned aerial
vehicles (UAVs) to navigate dynamic and cluttered environments. The system encompasses …

We propose a novel hierarchical priority mechanism for deadlock recovery of distributed
swarm via on-demand collision avoidance in cluttered dynamic environments. The proposed …