Path planning plays a vital role in ensuring the efficient and safe operation of off-road
autonomous ground vehicles (AGVs). Current methods mostly focus on minimizing the travel …

The current parking trajectory planning algorithms based on geometric connections or
formulation of optimization problems in automatic parking systems have strict requirements …

Path planning is an essential function in an intelligent vehicle, especially when driving in
scenarios cluttered by large-scale static obstacles. Traditional path planners often struggle …

Background: This article presents the results of a literature review from 2018 to 2023, which
focused on research related to human and AGV system cooperation in a shared workspace …

Robots have become increasingly prevalent in dynamic and crowded environments such as
airports and shopping malls. In these scenarios, the critical challenges for robot navigation …

Planning safe and smooth trajectories for multiple autonomous ground vehicles (MAGVs) in
a complex dynamic unstructured environment is a fundamental and challenging task. In this …

Autonomous pedestrian-aware navigation in shared human-robot environments is a
challenging problem. Here we consider a common situation in which a large crowd of …

The RRT*-Connect algorithm enhances efficiency through dual tree bias growth, yet this
bias can be inherently blind, potentially affecting the algorithm's heuristic performance. In …

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 …

Collision avoidance is a key technology for autonomous underwater vehicle (AUV) to
achieve tasks such as path planning, target searching, and map construction. The …