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 …

Mobile robotics research is an emerging area since last three decades. The present
research on mobile robotics addresses the problems which are mainly on path planning …

During the last decade, sampling-based algorithms for path planning have gained
considerable attention. The RRT*, a variant of RRT (rapidly-exploring random trees), is of …

Path planning and navigation is a very important problem in robotics, especially for mobile
robots operating in complex environments. Sampling based planners such as the …

Robots with many degrees of freedom (eg, humanoid robots and mobile manipulators) have
increasingly been employed to accomplish realistic tasks in domains such as disaster relief …

The most important research area in robotics is navigation algorithms. Robot path planning
(RPP) is the process of choosing the best route for a mobile robot to take before it moves …

Motion planning is one of the most important areas of robotics research. The complexity of
the motion-planning problem has hindered the development of practical algorithms. This …

This study proposes a new approach for solving the problem of autonomous movement of
robots in environments that contain both static and dynamic obstacles. The purpose of this …

Given a set S of points in the plane, there is a triangulation of S such that a path found within
this triangulation has length bounded by a constant times the straight-line distance between …

We present a review and reformulation of manifold constrained sampling-based motion
planning within a unifying framework, IMACS (implicit manifold configuration space). IMACS …