Motion planning is a fundamental research area in robotics. Sampling-based methods offer
an efficient solution for what is otherwise a rather challenging dilemma of path planning …

Planning algorithms are impacting technical disciplines and industries around the world,
including robotics, computer-aided design, manufacturing, computer graphics, aerospace …

Path planning still remains one of the core problems in modern robotic applications, such as
the design of autonomous vehicles and perceptive systems. The basic path-planning …

Map** can potentially be speeded up in a significant way by using multiple robots
exploring different parts of the environment. But the core question of multirobot map** is …

Lifting operations of mobile cranes are one of the commonly-seen and most important
activities for prefabrication housing production (PHP) on sites. However, relevant operations …

The sea current state affects the energy consumption of Unmanned Surface Vehicles (USVs)
significantly and the path planning approach plays an important role in determining how …

In this paper, a novel Voronoi-Visibility (VV) path planning algorithm, which integrates the
merits of a Voronoi diagram and a Visibility graph, is proposed for solving the Unmanned …

Highlights•Twofold analysis of motion planning success in a dense obstacle
environment.•Novel constrained-azimuth method avoided executing risky paths.•Sensitivity …

This chapter first provides a formulation of the geometric path planning problem in Sect. 7.2
and then introduces sampling-based planning in Sect. 7.3. Sampling-based planners are …

We illustrate our experience in develo** and implementing algorithms for map merging,
ie, the problem of fusing two or more partial maps without common reference frames into …