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Increased Mars Rover Autonomy using AI Planning, Scheduling and Execution., , , , , , , and . ICRA, page 4911-4918. IEEE, (2007)Spatial coverage planning for a planetary rover., , and . ICRA, page 614-620. IEEE, (2008)Using regression trees to learn action models., , and . SMC, page 3378-3383. IEEE, (2000)Simultaneously searching for planning goals, operators, and effectors., and . Artif. Intell. Eng. Des. Anal. Manuf., 14 (4): 305-322 (2000)Special Issue: New artificial intelligence paradigms for manufacturing., and . Artif. Intell. Eng. Des. Anal. Manuf., 17 (3): 171 (2003)C-C: a customizable feature recognizer., and . Comput. Aided Des., 31 (2): 85-100 (1999)Coordinator: a robust setup planner that detects fixture-feature interactions., , and . SMC, page 423-426. IEEE, (1998)Analyzing the effectiveness of rescheduling and Flexible Execution methods to address uncertainty in execution duration for a planetary rover., , , , , and . Robotics Auton. Syst., (2021)SAN-RL: combining spreading activation networks and reinforcement learning to learn configurable behaviors., , , , , and . Mobile Robots, volume 4573 of SPIE Proceedings, page 80-91. SPIE, (2001)Oasis: Onboard autonomous science investigation system for opportunistic rover science., , , , , , , and . J. Field Robotics, 24 (5): 379-397 (2007)