Donald Sofge

United States Naval Research Laboratory

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William F. Lawless

Paine College

Daniel M. Lofaro

United States Naval Research Laboratory

Ranjeev Mittu

Mitre (United States)

Hui‐Lien Tung

Paine College

Michael Otte

University of Maryland, College Park

James Grayson

Augusta University

Joseph Wood

University of Colorado Colorado Springs

Tristan Schuler

United States Naval Research Laboratory

Michael J. Kuhlman

United States Naval Research Laboratory

Loy McGuire

United States Naval Research Laboratory

Cooperative Institutions

United States Naval Research Laboratory

Carnegie Mellon University

Massachusetts Institute of Technology

University of Maryland, College Park

United States Navy

George Mason University

Georgia Institute of Technology

DEVCOM Army Research Laboratory

United States Department of the Navy

Duke University

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Miniature Autonomous Blimps for Indoor Applications

AIAA SCITECH 2022 Forum (2022)

Tony X. Lin Michelle Rossouw Alexander B. Maxseiner Tristan Schuler Matthew Garratt

Miniature autonomous blimps are autonomous lighter-than-air vehicles that offer a variety of benefits over other existing flight platforms. In particular, blimps offer long flight times, soft envelopes that are resilient to collisions, and friendly human-robot interaction opportunities. As such, these platforms are well suited for indoor applications and human-cluttered environments as catastrophic or life-threatening collisions are far less likely. In this abstract, we detail some of our ongoing efforts to enable autonomous behaviors for lighter-than-air platforms through various sensing, actuation, and swarming efforts.

Swarming (honey bee)

10.2514/6.2022-1834

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Citations (3)

Valuing Attrition in a Fleet of Robots Used as Path-Based Sensors for Gathering Information in a Communications Restricted Environment

2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2024)

Loy McGuire Michael Otte Donald Sofge

Attrition

10.1109/iros58592.2024.10802088

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Citations (0)

Reports of the AAAI 2010 Fall Symposia

AI Magazine (2011)

Roger Azevedo Gautam Biswas Dan Bohus Ted Carmichael Mark A. Finlayson

The Association for the Advancement of Artificial Intelligence was pleased to present the 2010 Fall Symposium Series, held Thursday through Saturday, November 11–13, at the Westin Arlington Gateway in Arlington, Virginia. The titles of the eight symposia are as follows: (1) Cognitive and Metacognitive Educational Systems; (2) Commonsense Knowledge; (3) Complex Adaptive Systems: Resilience, Robustness, and Evolvability; (4) Computational Models of Narrative; (5) Dialog with Robots; (6) Manifold Learning and Its Applications; (7) Proactive Assistant Agents; and (8) Quantum Informatics for Cognitive, Social, and Semantic Processes. The highlights of each symposium are presented in this report.

Thursday

Gateway (web page)

Commonsense knowledge

10.1609/aimag.v32i1.2338

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Citations (1)

UAV Routing for Enhancing the Performance of a Classifier-in-the-loop

arXiv (Cornell University) (2023)

Deepak Prakash Kumar Pranav Rajbhandari Loy McGuire Swaroop Darbha Donald Sofge

Some human-machine systems are designed so that machines (robots) gather and deliver data to remotely located operators (humans) through an interface in order to aid them in classification. The performance of a human as a (binary) classifier-in-the-loop is characterized by probabilities of correctly classifying objects of type $T$ and $F$. These two probabilities depend on the dwell time, $d$, spent collecting information at a point of interest (POI or interchangeably, target). The information gain associated with collecting information at a target is then a function of dwell time $d$ and discounted by the revisit time, $R$, i.e., the duration between consecutive revisits to the same target. The objective of the problem of routing for classification is to optimally route the vehicles and determine the optimal dwell time at each target so as to maximize the total discounted information gain while visiting every target at least once. In this paper, we make a simplifying assumption that the information gain is discounted exponentially by the revisit time; this assumption enables one to decouple the problem of routing with the problem of determining optimal dwell time at each target for a single vehicle problem. For the multi-vehicle problem, we provide a fast heuristic to obtain the allocation of targets to each vehicle and the corresponding dwell time.

Dwell time

Information gain

Time point

10.48550/arxiv.2310.08828

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Game theory approaches for autonomy

Frontiers in Physics (2022)

Steven M. Dennis Frederick E. Petry Donald Sofge

Game theory offers techniques for applying autonomy in the field. In this mini-review, we define autonomy, and briefly overview game theory with a focus on Nash and Stackleberg equilibria and Social dilemma. We provide a discussion of successful projects using game theory approaches applied to several autonomous systems.

Implementation theory

10.3389/fphy.2022.880706

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Citations (3)

Proceedings of the 3rd International Symposium on Quantum Interaction

Peter Bruza Donald Sofge William F. Lawless Keith van Rijsbergen Matthias Klusch

Source

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Citations (3)

Interdependence and Vulnerability in Systems: A Review of Theory for Autonomous Human-Machine Teams

Lecture notes in computer science (2021)

William F. Lawless Donald Sofge

Constructive

Vulnerability

10.1007/978-3-030-89385-9_15

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Conservation of Information: Reverse engineering dark social systems

Structure and Dynamics eJournal of Anthropological and Related Sciences (2010)

William F. Lawless Stan Rifkin Donald Sofge Stephen H. Hobbs Fjorentina Angjellari-Dajci

A broad appeal for a new theory of interdependence, 'iota', has been requested for the science of complexity in a special issue of Science, for social network analysis by the National Academy of Sciences, for effects-based operations by the US military, and for modernizing the fields of law and economics. We have proposed a new theory of 'iota' for organizations and systems that already appears to exhibit some validity. It is expressed in a physics of 'iota' (e.g., bistability) that includes Fourier pairs for social uncertainty and Lotka-Volterra-like equations for population effects in social systems. Unlike traditional social science, it assumes that despite the tension between self and collective organizational processes, perfect organizations and social systems become dark, but that purposively dark systems emit more light in the form of unique information (e.g., gangs, terrorists, high-security systems). To reverse engineer dark social systems (DSS), our theory replaces methodological individualism with a physics of social 'iota'. But the many challenges in applying 'iota' to control theory or to metrics for organizational performance make this high-risk research.

Social Complexity

Social engineering (security)

Complex system

Human systems engineering

Social system

10.5070/sd942003309

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Citations (22)

COLLABORATING WITH HUMANOID ROBOTS IN SPACE

International Journal of Humanoid Robotics (2005)

Donald Sofge Magdalena Bugajska J. Gregory Trafton Dennis Perzanowski Scott Thomas

One of the great challenges of putting humanoid robots into space is developing cognitive capabilities for the robots with an interface that allows human astronauts to collaborate with the robots as naturally and efficiently as they would with other astronauts. In this joint effort with NASA and the entire Robonaut team, we are integrating natural language and gesture understanding, spatial reasoning incorporating such features as human–robot perspective taking, and cognitive model-based understanding to achieve a high level of human–robot interaction. Building greater autonomy into the robot frees the human operator(s) from focusing strictly on the demands of operating the robot, and instead allows the possibility of actively collaborating with the robot to focus on the task at hand. By using shared representations between the human and robot, and enabling the robot to assume the perspectives of the human, the humanoid robot may become a more effective collaborator with a human astronaut for achieving mission objectives in space.

Human–robot interaction

Social robot

10.1142/s0219843605000442

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Citations (15)

Cyber-(in)Security, Revisited: Proactive Cyber-Defenses, Interdependence and Autonomous Human-Machine Teams (A-HMTs)

Springer eBooks (2021)

William F. Lawless Ranjeev Mittu Ira S. Moskowitz Donald Sofge Stephen Russell

Cyber-attack

10.1007/978-3-030-55692-1_10

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Citations (1)