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Georgia Institute of Technology
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Achieving reliable model discrimination in under 50 ms while ensuring safety could revolutionize fault diagnosis in high-stakes robotic applications.
Adaptive budget allocation for robot replanning can significantly enhance performance in dynamic environments, outperforming traditional methods.
Seemingly innocuous prompts can covertly hijack robotic actions, steering them toward adversarial outcomes while maintaining the facade of intended commands.
Strategically detouring to vantage points with high visibility slashes navigation costs in uncertain environments, outperforming shortest-path baselines and computationally expensive alternatives.
