Abstract — A potential-based model of three-dimensional (3-D) workspace is proposed in this paper for ensuring obstacle avoidance in path planning. It is assumed that the workspace boundary is uniformly distributed with generalized charges. The potential due to a point charge is inversely proportional to the distance to the power of an integer, the order of the potential function. It is shown that such potential functions and their gradients due to polyhedral surfaces can be derived analytically, and thus can facilitate efficient collision avoidance. Intuitively, the potential fields and their effects on object paths should be spa-tially continuous and smooth. The continuity and differentiability properties of a particular potential functio...
An important concept proposed in the early stage of robot path planning field is the shrinking of a ...
A methodology to plan the trajectories of robots that move in an n-dimensional Euclidean space, have...
Automatic path planning is essential for many real world applications. Efficient representations of ...
Potential functions are used to represent the topological structure of free space in solving path pl...
Typescript (photocopy).Planning the path of a manipulator through an obstacle strewn workspace is a ...
In this thesis we develop a general algorithm for optimizing robot motion in the presence of obstacl...
This thesis represents a relatively new aspect of computing with regard to robotics. The need for fa...
This paper investigates the computational complexity of planning the mo-tion of a body B in 2{D or 3...
In this work, it is proposed a new family of potentials for path planning algorithms, one kind to t...
In this paper the dynamic path planning with collision avoidance of an industrial robot is addressed...
Many of the motion planning algorithms require decomposing free space into convex regions in order t...
This paper presents a new formulation of the artificial potential approach to the obstacle avoidance...
In this article, we address the motion planning and control problem of a mobile robot, herein consid...
This paper addresses the problem of path planning for a free-flying object in a (threedimensional) ...
This paper describes a collision avoidance algorithm for planning a safe path for a polyhedral objec...
An important concept proposed in the early stage of robot path planning field is the shrinking of a ...
A methodology to plan the trajectories of robots that move in an n-dimensional Euclidean space, have...
Automatic path planning is essential for many real world applications. Efficient representations of ...
Potential functions are used to represent the topological structure of free space in solving path pl...
Typescript (photocopy).Planning the path of a manipulator through an obstacle strewn workspace is a ...
In this thesis we develop a general algorithm for optimizing robot motion in the presence of obstacl...
This thesis represents a relatively new aspect of computing with regard to robotics. The need for fa...
This paper investigates the computational complexity of planning the mo-tion of a body B in 2{D or 3...
In this work, it is proposed a new family of potentials for path planning algorithms, one kind to t...
In this paper the dynamic path planning with collision avoidance of an industrial robot is addressed...
Many of the motion planning algorithms require decomposing free space into convex regions in order t...
This paper presents a new formulation of the artificial potential approach to the obstacle avoidance...
In this article, we address the motion planning and control problem of a mobile robot, herein consid...
This paper addresses the problem of path planning for a free-flying object in a (threedimensional) ...
This paper describes a collision avoidance algorithm for planning a safe path for a polyhedral objec...
An important concept proposed in the early stage of robot path planning field is the shrinking of a ...
A methodology to plan the trajectories of robots that move in an n-dimensional Euclidean space, have...
Automatic path planning is essential for many real world applications. Efficient representations of ...