Active Traversability Learning via Risk-Aware Information Gathering for Planetary Exploration Rovers

Mathematics

• Active Learning 100%
• Gaussian Process 62%
• In Situ Measurements 61%
• Path Planning 48%
• Spatial Distribution 41%
• Slip 36%
• Framework 36%
• Prediction 25%
• Trajectory 24%
• Chance Constraints 23%
• Process Modeling 20%
• Fault-tolerant 20%
• Reachability 16%
• Rough 15%
• Update 15%
• Estimate 14%
• Uncertainty 13%
• Simulation Study 11%
• Model 10%
• Formulation 10%
• Demonstrate 9%

Engineering & Materials Science

• Problem-Based Learning 72%
• Spatial distribution 69%
• Motion planning 60%
• Trajectories 44%
• Sampling 22%
• Uncertainty 19%
• Geometry 19%