Robust Autonomy
Contents
Using Autonomous Agents to Improve Efficiency and Robustness in Slow, Unreliable Networks
PDFEnabling Advanced Automation in Spacecraft Operations with the Spacecraft Emergency Response System
PDFThe Roles of Machine Learning in Robust Autonomous Systems
PDFAdaptive Trajectory Planning for Flight Management Systems
PDFUsing Model-Based Reasoning for Autonomous Instrument Operation — Lessons Learned from IMAGE/LENA
PDFDistributed Intelligent Planning and Scheduling for Enhanced Spacecraft Autonomy
PDFAnalysis and Design of Hybrid AI/Control Systems
PDFObjectAgent for Robust Autonomous Control
PDFChallenges and Lessons Learned in the Application of Autonomy to Space Operations
PDFAn Enabling Development Environment for Spacecraft Autonomy
PDFProblems of Attentional Behavior in Autonomous Robotic Systems
PDFRobust Planning with Imperfect Models
PDFImproving Robustness of Distributed Condition Monitoring by Exploiting the Semantics of Information Change
PDFEffective Planning Horizons for Robust Autonomy
PDFSynthesis-Specific Verification
PDFRobustness via Run-time Adaptation of Contingent Plans
PDFDetecting, Expressing, and Harmonizing Autonomy in Communication between Social Agents
PDFAn Algorithm for Non-Parametric Fault Identification
PDFA Robust MAS Coordination Mechanism for Action Selection
PDFAn Agent Architecture Potentially Capable of Robust Autonomy
PDFThe Design-to-Criteria Scheduler: A Component for Complex Agent Control
PDFResearch Summary: Communication-Sensitive Decision Making in Multi-Agent, Real-Time Environments
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