Research Area: Robot Task Representation
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Reactive or Proactive? How Robots Should Explain Failures
Abstract As robots tackle increasingly complex tasks, the need for explanations becomes essential for gaining trust and acceptance. Explainable robotic systems should not only elucidate failures when they occur but also predict and preemptively explain potential issues. This paper compares explanations from Reactive Systems, which detect and explain failures after they occur, to Proactive Systems,…
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Communicating Missing Causal Information to Explain a Robot’s Past Behavior
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Mixed-Reality Robot Behavior Replay: A System Implementation
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“Why Didn’t I Do It?” A Study Design to Evaluate Robot Explanations
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Building The Foundation of Robot Explanation Generation Using Behavior Trees