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 …

A practical approach for generating motion paths with continuous steering for car-like mobile
robots is presented here. This paper addresses two key issues in robot motion planning; …

We propose a new trajectory generation scheme called dual-tree rapidly exploring random
tree (DT-RRT), which is designed on the basis of a rapidly exploring random tree (RRT) …

This paper presents a hierarchical motion planning approach based on discrete optimization
method. Well-coupled longitudinal and lateral planning strategies with adaptability features …

The use of UAVs for remote sensing tasks; eg agriculture, search and rescue is increasing.
The ability for UAVs to autonomously find a target and perform on-board decision making …

This paper addresses a continuous curvature path generation problem for car-like vehicle
navigation. The continuous curvature path is generated by multiple clothoids composition …

Mobile robots have various applications in agriculture, autonomous cars, industrial
automation, planetary exploration, security, and surveillance. The generation of the optimal …

In the case of non-holonomic robot navigation, path planning algorithms such as Rapidly-
exploring Random Tree (RRT) rarely provide feasible and smooth paths without the need of …

Autonomous parking technology is a key concept within autonomous driving research. This
paper will propose an imaginative autonomous parking algorithm to solve issues concerned …

Today, mobile robots have a wide range of real-world applications where they can replace
or assist humans in many tasks, such as search and rescue, surveillance, patrolling …