ADMM-Based Adaptive Sampling Strategy for Nonholonomic Mobile Robotic Sensor Networks

Keyphrases

• Optimization Problem 100%
• Mobile Robot Networks 100%
• Non-holonomic 100%
• Adaptive Sampling Strategy 100%
• Linearized Alternating Direction Method of multipliers (LADMM) 80%
• Sampling Optimization 60%
• Dynamic Constraints 40%
• Adaptive Sampling 40%
• Nonlinearity 20%
• Sampling Location 20%
• Good Accuracy 20%
• Spatial Fields 20%
• Movement Control 20%
• Computationally Expensive 20%
• Covariance Matrix 20%
• Control Dynamics 20%
• Sampling Problems 20%
• Nonlinear Dynamics 20%
• Gaussian Process 20%
• Log-determinant 20%
• Alternating Direction multiplier Method 20%
• Nonholonomic Dynamics 20%
• Movement Dynamics 20%
• Multiplier Method 20%
• Non-convexity 20%
• Nonconvex Problem 20%
• Synthetic Environment 20%
• Mobile Sensors 20%

Engineering

• Sensor Network 100%
• Optimisation Problem 100%
• Robotic Sensor 100%
• Alternating Direction Method of Multipliers 80%
• Objective Function 40%
• Nonlinearity 20%
• Simplifies 20%
• Gaussians 20%
• Mobile Sensor 20%
• Non-Linear Dynamic 20%
• Covariance Matrix 20%
• Movement Control 20%
• Subproblem 20%
• Good Accuracy 20%

Computer Science

• Sensor Networks 100%
• Optimization Problem 100%
• Mobile Robotics 100%
• Alternating Direction Method of Multipliers 80%
• Objective Function 40%
• Spatial Phenomenon 20%
• Covariance Matrix 20%
• Sampling Problem 20%
• Synthetic Environment 20%
• Movement Control 20%
• Mobile Sensor 20%