Data-driven anytime algorithms for motion planning with safety guarantees

Keyphrases

• Machine Learning Algorithms 100%
• Robotic System 100%
• Statistical Estimation 100%
• Motion Planning 100%
• Learning-based 100%
• Anytime Algorithms 100%
• Safety Guarantee 100%
• Controller 50%
• Safety-critical Systems 50%
• Confidence Interval 50%
• Data-driven Approach 50%
• State Space 50%
• Uncertainty Set 50%
• Controller Synthesis 50%
• Transience 50%
• Dynamic Disturbance 50%
• Robust Adaptive 50%
• Robust Constraint 50%
• Differential Game 50%
• Synthesis Problem 50%
• Unmodeled Dynamics 50%
• Motion Planning Problem 50%
• Machine Learning Estimator 50%
• Unmodeled Uncertainty 50%
• Unmodeled Disturbances 50%
• Learning Phase 50%
• Adaptive Motion Planning 50%

Engineering

• Robotic System 100%
• Machine Learning Algorithm 100%
• Transients 50%
• Confidence Interval 50%
• Optimal Value 50%
• Controller Synthesis 50%
• Conservative Estimate 50%
• Critical System 50%

Chemical Engineering

• Learning System 100%
• Motion Planning 100%