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Jeremy Straub Department of Computer Science University of North Dakota
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Introduction Background Applications Requiring Humans ◦ Prospective Applications ◦ Requirement Source Autonomous Control Goal-Based Autonomy Human Collaboration Integrated System Pathway to Implementation ◦ Technical ◦ Social, Legal & Ethical Considerations Conclusions & Future Works
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Partial autonomous control approaches are poised to provide benefit to the warfighter The approach combines: ◦ Scalability of autonomous control ◦ Specialized skills and abilities that humans are either particularly well suited to or which control software hasn’t been created for. A collaborative control approach is discussed, it combines: ◦ goal-based autonomy ◦ human assistance ◦ teleoperation capabilities Goals ◦ to maximize system efficiency through the use of autonomous control wherever possible ◦ maximize task completion and accuracy through human support or control, as required
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Robotic sensing and weapons platform control technologies fall into two categories; however, the boundaries of these are blurring ◦ The First presumes complete robot system autonomy in achieving goals and completing tasks assigned by controllers. ◦ The second presumes that human control (or at least supervision) is required The control of multiple robots by humans, however, presents a particular challenge due to the necessity to concurrently assess and command these robots.
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The prospective applications for unmanned craft (teleoperated or autonomous) are numerous. Applications include: ◦ intelligence ◦ surveillance and reconnaissance missions ◦ munition location and disablement missions ◦ military attack/defense operations ◦ rescue missions ◦ search and rescue operations Robots are able to facilitate activities in remote areas, harsh environments and constrained spaces Teleoperation facilitates attaining these benefits while still allowing the missions to benefit from human knowledge and judgment.
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From a moral perspective, Sauer and Schornig site Kahn in arguing that “a soldier’s right to kill his or her opponents depends on the condition of mutual risk”. Human judgment is also required for ethical decision making (though Sauer and Schornig suggest that in the longer-term, artificial intelligence systems may be act in a “more ‘humane’ fashion” than humans. Technically-dictated need: ◦ identification of targets in non-warfare applications ◦ system goal setting and/or tasking ◦ valuable intuition-based guidance
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Autonomous control, when a suitable solution, is highly desirable. Completely autonomous systems do not require human operators (and the associated expense). They can be controlled by local software (either onboard or in-region) preventing the need maintain expensive long-distance communications channels and reducing the potential for the system to fail or be compromised due to communications channel failure or compromise. Autonomous control can take several forms: ◦ Script ◦ Script with error handling capabilities ◦ Adaptive planning ◦ goal-based autonomy With goal-based autonomy, the AI is given the programmatic tools needed to determine what actions are required to complete a set of goals. Controllers supply initial goals and refine them as necessary. The system creates and refines an operations plan, based upon the supplied (and updated, if applicable) goals.
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With goal-based autonomy the controller sends a high level goal in a goal definition language that is analyzed and decomposed by the AI. The AI, considering current operating conditions, situational knowledge and other factors develops an optimized plan for the performance of tasks required to meet these decomposed goals. Dependencies for these tasks are identified and an optimized schedule for their performance is created. Management by exception can be used to validate whether each prospective task has been suitably successful. If an exception is found to exist, the system attempts to determine if it can be fixed by the system (without requiring human intervention).
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Many tasks can be performed successfully by an AI without human intervention. Some (e.g., object recognition in a chaotic environment)are beyond the current capabilities of software systems. Others or may be possible, but infeasible with the hardware capabilities available onboard the craft or in the operating region. In these cases, human involvement can expedite task completion and increase accuracy and system performance. The previous system is now presented augmented with human involvement Enhancements: ◦ validation process that occurs after scheduling; clarification from controllers is sought to resolve validation failure, if applicable ◦ addition of task types that require human intervention Each task is evaluated to determine whether human input is required. If input is required, it is sought from human controllers the system attempts to resolve the exception autonomously if this fails, human input is sought; this allows more complex task exceptions to be effectively resolved
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it is necessary to consider how multiple instances of the collaborative control process work in conjunction with each other. Several approaches have been utilized in other work: ◦ security-monitoring-style approach where the controller has multiple screens (or multiple windows) and attempts to watch all of the craft concurrently, scanning for irregularities ◦ approaches where the controller switches between the craft regularly, checking for issues resolving them with commands and moving to the next screen. ◦ autonomously identify and prioritize situations which require the controller’s input and present these to him or her
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Work is required on a variety of fronts to facilitate the use of teleoperated and autonomous craft in more battle scenarios Technical challenges range from specific focus areas ◦ such as the development of technology that rivals human performance in target identification to more general concerns ◦ such as ensuring that human values are properly implemented in robotic decision making systems. Keeping humans in-the-loop: ◦ emotional effects of remote warfighting on human participants ◦ enhancing training (or providing autonomous decision making support, etc.) to facilitate better decision making about craft and human operator capabilities ◦ understanding human perception and how to improve human situational awareness when commanding a remotely controlled craft
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Sauer and Schomig suggest that a plethora of social, ethical and legal considerations must be evaluated when contemplating remotely controlled vehicles and their further advancement. ◦ The effect on the conduct of war must be considered: reduced the threshold to engage in combat ◦ The impact of teleoperation on the rules of war and what is considered acceptable must be considered: attacks upon civilian areas may be provoked in response to unmanned craft conflict. ◦ Lack of risk to the operators of unmanned vehicles (who are far removed from the war) removes the right, born from “mutual risk” to harm or kill enemy combatants the impact that these actions (if perceived as unfair by craft operators) will have on operators’ mental state. ◦ Utilization of autonomous control technology may create a spiral driving further autonomy. each side would realize the comparative competitive advantage and that each upgrade would trigger a virtual need by the other side to match the prospective conclusion to this cycle may be wars initiated and fought before humans are even fully aware of them.
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This paper has provided an overview of ongoing work related to the initial design of an integrated system for controlling Future work will involve the completion of the implementation of this system and testing to quantify the qualitative benefits from controller involvement discussed herein. Work will also be undertaken to quantify the relative performance of the AI-driven controller software, as compared to the alternate approaches traditionally used.
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