In recent years, with the widespread application of indoor inspection robots, efficient motion
planning has become crucial. Addressing the issue of discontinuous and suboptimal robot …

Collision avoidance is critical in unmanned surface vehicles (USVs) and is especially
challenging in scenarios involving ships of different intelligence levels. To address this …

In this paper, a terrain-adaptive motion planner is developed specifically for articulated
construction vehicles (ACVs) to address instability issues caused by elevation changes on …

To improve the tracking accuracy and robustness of the path-tracking control model for
intelligent vehicles under longitudinal and lateral coupling constraints, this paper utilizes the …

Typically, batteries are the main power source for mobile robots, and the practical
constraints in carrying them pose challenges in achieving efficiency, autonomy, and safety …

With the rapid development of the intelligent driving technology, achieving accurate path
planning for unmanned vehicles has become increasingly crucial. However, path planning …

Tower cranes are the most used equipment in construction projects, and the path planning
of tower crane operations directly affects the safety performance of construction projects …

To address the problems of slow convergence and low path smoothness of path planning
algorithms in complex environments, we propose a two-layer path planner consisting of a …

TEB (timed elastic band) can efficiently generate optimal trajectories that match the motion
characteristics of car-like robots. However, the quality of the generated trajectories is often …

The Reinforcement Learning (RL) algorithm, renowned for its robust learning capability and
search stability, has garnered significant attention and found extensive application in …