A Standardized Testing-Ground for Artificial Potential-Field based Motion Planning for Robot Collectives

نویسندگان

  • Leng-Feng Lee
  • Venkat Krovi
چکیده

In this paper, we examine and evaluate artificial-potential field approaches for motion planning of robot collectives with formation-maintenance requirements. To this end, we demonstrate the practical use of construction of the Navigation Function (NF) to serve as the “standardized testing-ground.” The NF allows a designer to merge multiple local limited-range potential-functions uniformly into a well-behaved “potential space”without creating multiple local-minima or irregular scaling at the obstacles. A MATLAB based Graphical User Interface (GUI) is created to aid the interactive creation of the “potential-space” for user-defined workspaces. Within this common test-ground, one is then able to systematically compare and evaluate the performance of various formation maintenance algorithms for robot collectives. In particular, we evaluate the performance of artificial-potential based formation-maintenance algorithms for wheeled mobile robot collectives with 3and 10-members.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Decentralized Motion Planning within an Artificial Potential Framework (apf) for Cooperative Payload Transport by Multi-robot Collectives

............................................................................................................................. iii Acknowledgment ................................................................................................................ v

متن کامل

Navigation of a Mobile Robot Using Virtual Potential Field and Artificial Neural Network

Mobile robot navigation is one of the basic problems in robotics. In this paper, a new approach is proposed for autonomous mobile robot navigation in an unknown environment. The proposed approach is based on learning virtual parallel paths that propel the mobile robot toward the track using a multi-layer, feed-forward neural network. For training, a human operator navigates the mobile robot in ...

متن کامل

Formation Control and Path Planning of Two Robots for Tracking a Moving Target

This paper addresses the dynamic path planning for two mobile robots in unknownenvironment with obstacle avoidance and moving target tracking. These robots must form atriangle with moving target. The algorithm is composed of two parts. The first part of thealgorithm used for formation planning of the robots and a moving target. It generates thedesired position for the robots for the next step. ...

متن کامل

A Low Friction Demanding Approach in Gait Planning for Humanoid Robots During 3D Manoeuvres

This paper proposes a gait planning approach to reduce the required friction for a biped robot walking on various surfaces. To this end, a humanoid robot with 18 DOF is considered to develop a dynamics model for studying various 3D manoeuvres. Then, feasible trajectories are developed to alleviate the fluctuations on the upper body to resemble human-like walking. In order to generate feasible w...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006