Odor Plume Tracing: Lobster Inspired Algorithms

Abstract

The objective was to discover and understand strategies for tracking chemical plumes to their source in environments characterized by turbulent flow. Two parallel approaches were used. We studied the behavior of plume-tracking lobsters in the laboratory. We also studied plume tracking by autonomous underwater robots under identical conditions to those under which the lobsters were studied. Lobster performance was used as a benchmark to set performance goals for the robots Hypothesis testing with the robots was used to exclude unworkable strategies as explanations for lobster behavior.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2001
Accession Number
ADA415619

Entities

People

  • Jelle Atema

Organizations

  • Boston University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Animal Behavior
  • Animals
  • Autonomous Systems
  • Buildings And Structures
  • Chemical Detection
  • Chemical Detectors
  • Detection
  • Detectors
  • Environment
  • Flow
  • Information Processing
  • Robotics
  • Robots
  • Turbulence
  • Turbulent Flow
  • Universities

Readers

  • Aerospace Propulsion Engineering.
  • Robotics and Automation.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

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