R
Ross Arnold
Researcher at United States Department of the Army
Publications - 23
Citations - 888
Ross Arnold is an academic researcher from United States Department of the Army. The author has contributed to research in topics: Swarm behaviour & Robot. The author has an hindex of 6, co-authored 22 publications receiving 560 citations. Previous affiliations of Ross Arnold include United States Army Armament Research, Development and Engineering Center & Picatinny Arsenal.
Papers
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Journal ArticleDOI
A definition of systems thinking: A systems approach
Ross Arnold,Jon Wade +1 more
TL;DR: This research proposed a new definition of systems thinking that integrates these components both individually and holistically and was tested for fidelity against a System Test and against three widely accepted system archetypes.
Journal ArticleDOI
Search and rescue with autonomous flying robots through behavior-based cooperative intelligence
TL;DR: The results demonstrate the value of using behavior-based swarming algorithms to control autonomous unmanned aerial vehicles for post-disaster search and assessment.
Journal ArticleDOI
A complete set of systems thinking skills
Ross Arnold,Jon Wade +1 more
TL;DR: This paper proposes a complete set of systems thinking skills for use across many different disciplines, with particular emphasis on the ability to assess each of the skills quantitatively, a comprehensible description of the Skills, and the completeness of the set.
Proceedings ArticleDOI
What is A Robot Swarm: A Definition for Swarming Robotics
TL;DR: This paper proposes a definition of a swarm in the context of autonomous robotics, describes many real-world problems that can be addressed through use of swarms, and details current applications of swarming robotic systems.
Proceedings ArticleDOI
Heterogeneous UAV Multi-Role Swarming Behaviors for Search and Rescue
TL;DR: The results show that the swarm is successful in locating over 90 % of survivors in less than 40 minutes using the most effective personality type distributions, and demonstrates the value of the novel approach of applying design of experiment principles to simulation experiments in order to explore optimal swarm configurations.