A Hybrid Control Strategy for Path Planning and Obstacle Avoidance With Non-Holonomic Robots

Abstract

The primary focus is on providing a formal basis for behavior-based robotics using techniques that have been successful in control-based approaches for steering and stabilizing robots that are subject to nonholonomic constraints. In particular, behaviors for robots are formalized in terms of kinetic state machines, a motion description language and the interaction of the kinetic state machine with information coming in from (limited range) sensors. This allows us to create a mathematical basis for discussing these systems, including techniques for integrating sets of behaviors. In addition we suggest optimality criteria for comparing both atomic and compound behaviors in various environments. A hybrid architecture for the implementation of path planners that use the motion description language is presented. The design and implementation of a planner for path planning and examples of obstacle avoidance with nonholonomic robots are discussed.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1994
Accession Number
ADA453249

Entities

People

  • Vikram Manikonda

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Collision Avoidance
  • Information Operations
  • Language
  • Motion Planning
  • Robotics
  • Robots
  • Universities

Fields of Study

  • Computer science

Readers

  • Robotics and Automation.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control