Mobility trajectory data is of great significance for mobility pattern study, urban computing,
and city science. Self-driving, traffic prediction, environment estimation, and many other …

Obstacle avoidance path planning is considered an essential requirement for unmanned
aerial vehicle (UAV) to reach its designated mission area and perform its tasks. This study …

With the improvement of technology, autonomous mobile robots have become an
indispensable part of human life. Since path planning is the crucial part of mobile robots …

This study proposes an adaptive robot pathfinding algorithm (MS-W-Theta*) based on fused
trajectory smoothing with 3D maps. Firstly, we introduce an obstacle buffer in the 3D map …

In order to improve the efficiency of agricultural machinery operations and reduce production
costs, this article proposes a path planning algorithm based on the improved A* algorithm …

Mobile robots have increasingly been used in warehouses, factories, open spaces, on
roads, and urban areas to transport goods and people. Path planning in complex and large …

Establishing an accurate and computationally efficient model for driving risk assessment,
considering the influence of vehicle motion state and kinematic characteristics on path …

In robotics, the ability of quadruped robots to perform tasks in industrial, mining, and disaster
environments has already been demonstrated. To ensure the safe execution of tasks by the …

To guarantee the G 2-continuity and the zero-curvature condition at the Vibroseis Source
Points (VSPs), a novel optimal global path planning approach with operational constraints is …

This special issue focuses on mobile robotic systems, where we are seeing a widespread
increase in current applications as well as promising future applications enabled by the …