Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

BISMARC: a biologically inspired system for map-based autonomous rover control.

Terry Huntsberger1, John Rose

  • 1Intelligent Systems Laboratory, Department of Computer Science, University of South Carolina, Columbia, USA

Neural Networks : the Official Journal of the International Neural Network Society
|March 29, 2003
PubMed
Summary

This study introduces BISMARC, a novel autonomous rover control system for planetary missions. BISMARC utilizes biologically inspired navigation and behavior-based control to overcome mission constraints, enabling cooperative retrieval operations.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A Qualitative Exploration of Paid Carers' Experience of Caring for Men With Intellectual and/or Developmental Disability and Harmful Sexual Behaviour.

Journal of applied research in intellectual disabilities : JARID·2026
Same author

Adenotonsillectomy is associated with increased risk and disease activity in pediatric-onset multiple sclerosis.

Multiple sclerosis (Houndmills, Basingstoke, England)·2026
Same author

The Development and Validation of Models of Risk for Behaviours That Challenge in Children With Developmental Disabilities: A Novel Machine Learning Approach.

Journal of intellectual disability research : JIDR·2026
Same author

The crystal structure of human transport and Golgi organization 2 homolog (TANGO2) suggests a cysteine N-terminal nucleophile (Ntn) hydrolase.

Acta crystallographica. Section D, Structural biology·2026
Same author

Biomechanical Analysis of Lower Limb in Bharatanatyam Dance Using Musculoskeletal Modeling.

Indian journal of occupational and environmental medicine·2026
Same author

Telomere length as a marker of biological age in paediatric multiple sclerosis.

Journal of neurology, neurosurgery, and psychiatry·2026

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Planetary Science

Background:

  • Increasing mission complexity necessitates advanced autonomous rover systems.
  • Power, mass, and storage limitations pose significant challenges for planetary rovers.
  • Existing systems require enhancement for cooperative, complex retrieval operations.

Purpose of the Study:

  • To develop and describe the BISMARC (Biologically Inspired System for Map-based Autonomous Rover Control) system.
  • To detail the navigation and map-mapping subsystems of BISMARC.
  • To evaluate BISMARC's effectiveness in simulated planetary environments.

Main Methods:

  • Implemented a behavior-based control architecture with a modified free flow hierarchy for action selection.
  • Developed autonomous navigation and map-mapping subsystems inspired by human spatial cognition (hippocampal function).

Related Experiment Videos

  • Conducted experimental studies using simulated planetary environments to test navigation capabilities.

    • Main Results:

    • BISMARC demonstrates capability for cooperative planetary surface retrieval operations, such as cache recovery.
    • The navigation and map-mapping subsystems show promise for autonomous rover control in complex terrains.
    • Simulated experiments validated the system's performance in planetary navigation tasks.

    Conclusions:

    • BISMARC offers a viable solution for autonomous multi-rover systems facing mission constraints.
    • The biologically inspired approach to navigation and control is effective for planetary exploration.
    • Further research and experimental validation are warranted for real-world deployment.