Recently, we see an increasing number of vehicles coming into our lives, which makes
finding car parks a difficult task. To overcome this challenge, efficient and advanced parking …

This article presents a novel method for exactly reformulating nondifferentiable collision
avoidance constraints into smooth, differentiable constraints using strong duality of convex …

Planning smooth and energy-efficient paths for wheeled mobile robots is a central task for
applications ranging from autonomous driving to service and intralogistic robotics. Over the …

Complete coverage path planning (CCPP) is vital in mobile robot applications. Optimizing
CCPP is particularly significant in precision agriculture, where it enhances resource …

Autonomous parking techniques can be used to tackle the lacking problem of parking
spaces. In this paper, a sampling-based motion planner consisting of optimizing …

Rapidly-exploring random tree (RRT) has been studied for autonomous parking as it quickly
finds an initial path and is easily scalable in complex environments. However, the planning …

With the continued development of Autonomous Vehicle System (AVS), self-driving related
technologies have attracted much attention over the past decade. In this light, we survey …

In domestic robotics, passing through narrow areas becomes critical for safe and effective
robot navigation. Due to factors like sensor noise or miscalibration, even if the free space is …

Recent advancements in robotics have transformed industries such as manufacturing,
logistics, surgery, and planetary exploration. A key challenge is develo** efficient motion …

Motion planning algorithms, an essential part of the autonomous driving system, have been
extensively studied. However, in large-scale complex scenarios, how to develop an optimal …