Adaptive Control and Navigation of Autonomous Mobile Robots

Abstract

This grant was used to support four different lines of research in the Neurobotics Lab at Boston University: Adaptive control of a mobile robot using unsupervised neural networks; Sensor Fusion for localization of a mobile robot; real-time visual tracking and positioning; sonar object recognition. All of these projects adhere the Neurobotics Lab's goal of using neural networks and other biomimetic approaches for sensory processing and control in mobile robotics.

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Document Details

Document Type
Technical Report
Publication Date
Aug 31, 2000
Accession Number
ADA381430

Entities

People

  • Paolo Gaudiano

Organizations

  • Boston University

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automata Theory
  • Cognitive Science
  • Collision Avoidance
  • Computer Science
  • Computer Vision
  • Detectors
  • Machine Learning
  • Neural Networks
  • Object Recognition
  • Operating Systems
  • Pattern Recognition
  • Robot Navigation
  • Robotics
  • Robots
  • Sensor Fusion

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Neural Networks
  • Autonomy
  • Autonomy - Autonomous System Control
  • Biotechnology