Arrow Research search
Back to ICRA

ICRA 2000

Localization Based on Visibility Sectors using Range Sensors

Conference Paper Volume 4 Artificial Intelligence ยท Robotics

Abstract

Presents a rapid localization method for mobile robots. Localization, i. e. , absolute position measurement, is an important issue since odometer errors render it impossible for any robot to precisely follow a specified trajectory, resulting in a growing difference between the actual configuration and the calculated configuration as the robot travels. Periodic localization is required to correct these errors. We propose a localization method using range sensor data which is based on simple geometric properties of the environment. In many common situations, information regarding the environment is provided a priori for path planning. During processing, the method proposed here utilizes this information to partition the workspace into sectors using simple visibility computations, and a small identifying label is computed for each sector. The localizer analyzes range sensor readings (distances) and extracts characteristic points, which are compared with the pre-computed sector labels to localize the robot, first to a sector, and then to a particular configuration within that sector. Advantages of this two step process are that it is computationally very simple, and that it allows precise localization without any landmarks from any configuration in the environment. This localization method also provides opportunities for the global navigation procedure to analyze and select trajectories in terms of their tolerance to localization errors.

Authors

Keywords

  • Robot kinematics
  • Mobile robots
  • Robot sensing systems
  • Robotics and automation
  • Sonar navigation
  • Path planning
  • Sensor phenomena and characterization
  • Educational robots
  • Wheels
  • Computer science
  • Range Of Sensors
  • Sensor Data
  • Workspace
  • Local Method
  • Feature Points
  • Mobile Robot
  • Common Situation
  • Localizer
  • Sensor Readings
  • Environment Configuration
  • Odometer
  • Distancing Measures
  • Local Minima
  • Local Maxima
  • Optical Sensors
  • Local Coordinate
  • Radians
  • Regional Environment
  • Connection Point
  • Local Coordinate System
  • Discontinuity Point
  • Ultrasonic Sensors
  • Orientation Of The Robot
  • World Coordinate
  • Cyclic Shift
  • Unique Label
  • Position Of The Robot
  • Line Equation
  • Vertex Coordinates

Context

Venue
IEEE International Conference on Robotics and Automation
Archive span
1984-2025
Indexed papers
30179
Paper id
427581591489932192
v2026.09.13