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Computer Science

D-Index
64
Citations
28308
World Ranking
2523
National Ranking
1260

Electronics and Electrical Engineering

D-Index
64
Citations
28309
World Ranking
1254
National Ranking
514

Overview

Ronald C. Arkin is affiliated with the Georgia Institute of Technology in the United States. Their research spans across multiple fields including engineering and computer science, with a pronounced focus on subdomains such as control and systems engineering, mechanical engineering, aerospace engineering, computer networks and communications, and information systems and management.

The primary research topics addressed by Arkin include modular robots and swarm intelligence, robotics and automated systems, robotics and sensor-based localization, systems engineering methodologies and applications, scientific computing and data management, underwater vehicles and communication systems, and indoor and outdoor localization technologies.

Arkin has a notable presence in various academic publication venues. Frequent venues include:

  • Field Robotics
  • arXiv (Cornell University)
  • 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • Autonomous Robots
  • IEEE Transactions on Field Robotics

Among their recent papers are:

  • "Heterogeneous Ground and Air Platforms, Homogeneous Sensing: Team CSIRO Data61's Approach to the DARPA Subterranean Challenge," 2022, Field Robotics
  • "Multi-modal User Interface for Multi-robot Control in Underground Environments," 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • "Dynamic task allocation approaches for coordinated exploration of Subterranean environments," 2023, Autonomous Robots
  • "Heterogeneous Robot Teams with Unified Perception and Autonomy: How Team CSIRO Data61 Tied for the Top Score at the DARPA Subterranean Challenge," 2024, Field Robotics
  • "Heterogeneous Robot Teams With Unified Perception and Autonomy: How Team CSIRO Data61 Tied for the Top Score at the DARPA Subterranean Challenge," 2024, IEEE Transactions on Field Robotics

Frequent collaborators in these works include Jason Williams, Alex Pitt, Shengkang Chen, Fletcher Talbot, and Navinda Kottege.

Best Publications

  • Behavior-Based Robotics

    Ronald C. Arkin

  • Behavior-based formation control for multirobot teams

    T. Balch;R.C. Arkin

  • Motor Schema — Based Mobile Robot Navigation

    Ronald C. Arkin

  • Communication in reactive multiagent robotic systems

    Tucker Balch;Ronald C. Arkin

  • Integrating behavioral, perceptual, and world knowledge in reactive navigation

    Ronald C. Arkin

  • Governing Lethal Behavior in Autonomous Robots

    Ronald Arkin

  • Motor schema based navigation for a mobile robot: An approach to programming by behavior

    R. Arkin

  • AuRA: Principles and Practice in Review

    Ronald C. Arkin;Tucker R. Balch

  • Cooperation without communication: Multiagent schema‐based robot navigation

    Ronald C. Arkin

  • An ethological and emotional basis for human-robot interaction

    Ronald C. Arkin;Masahiro Fujita;Tsuyoshi Takagi;Rika Hasegawa

  • The Case for Ethical Autonomy in Unmanned Systems

    Ronald C. Arkin

  • Multiagent mission specification and execution

    Douglas C. Mackenzie;Ronald C. Arkin;Jonathan M. Cameron

  • Governing lethal behavior: Embedding ethics in a hybrid deliberative/reactive robot architecture part I: Motivation and philosophy

    Ronald C. Arkin

  • Autonomous navigation in a manufacturing environment

    R.C. Arkin;R.R. Murphy

  • Behavioral diversity in learning robot teams

    Tucker R. Balch;Ronald C. Arkin

  • Towards cosmopolitan robots: intelligent navigation in extended man-made environments

    Ronald Craig Arkin;Edward M. Riseman

  • Moral Decision Making in Autonomous Systems: Enforcement, Moral Emotions, Dignity, Trust, and Deception

    R. C. Arkin;P. Ulam;A. R. Wagner

  • International governance of autonomous military robots

    Gary E. Marchant;Braden Allenby;Ronald C. Arkin;Edward T. Barrett

  • Communication of behavorial state in multi-agent retrieval tasks

    R.C. Arkin;T. Balch;E. Nitz

  • Using genetic algorithms to learn reactive control parameters for autonomous robotic navigation

    Ashwin Ram;Ronald Arkin;Gary Boone;Michael Pearce

Frequent Co-Authors

Tucker Balch
Tucker Balch Emory University
Ashwin Ram
Ashwin Ram Georgia Institute of Technology
Maxim Likhachev
Maxim Likhachev Carnegie Mellon University
Robin R. Murphy
Robin R. Murphy Texas A&M University
Michael Kaess
Michael Kaess Carnegie Mellon University
Gaurav S. Sukhatme
Gaurav S. Sukhatme University of Southern California
Frank Dellaert
Frank Dellaert Georgia Institute of Technology
Wayne J. Book
Wayne J. Book Georgia Institute of Technology
George Vachtsevanos
George Vachtsevanos Georgia Institute of Technology
Anton Nijholt
Anton Nijholt University of Twente

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