The Local Motion Planning for an Autonomous Mobile Robot.

Abstract

The major problem addressed by this research is how to develop a motion control algorithm for local motion planning of an autonomous mobile robot. The approach taken was to clearly define the robot's motion descriptions and to design a high-level, machine independent robot control language called MML (Model-based Mobile robot Language). The results are that the robot can implement smooth rotation, symmetric, and initial motion tracking on an given environment. Based on the motion control algorithm developed in this thesis, the robot with rigid body can be applicable in both local and global motion planning. The experimental results were successful. The algorithms were implemented first on a simulator, then on the autonomous mobile robot Yamabico-Ji. Given an initial and final configuration, the vehicle demonstrated the capability to safely achieve its goal.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1995
Accession Number
ADA304359

Entities

People

  • Seok J. Yun

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Control Systems
  • Environment
  • Language
  • Motion
  • Motion Capture
  • Motion Planning
  • Robots
  • Rotation
  • Simulators

Fields of Study

  • Computer science

Readers

  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Autonomous System Control