Engineering
Gaussians
90%
Robot
60%
Vector Field
50%
Capillarity
45%
Control Vector
39%
Energy Engineering
36%
Surface Tension Force
30%
Diffusion Model
30%
Multidisciplinary Design Optimization
30%
Liquid Droplet
30%
Microscale
30%
Finite Number
30%
Nanoscale
30%
Limit Cycle
30%
Dimensional Structure
30%
Decision Maker
30%
Dimensional System
30%
Obstacle Avoidance
30%
Path Planning
30%
Energy Modeling
30%
Illustrates
24%
Linear Combination
20%
One Dimensional
20%
Optimal Performance
19%
Level Control
19%
Tasks
17%
Minimal Model
15%
Advection
15%
Preferred Design
15%
Liquid Drop
15%
Fluid Flow
15%
Dimensionless Parameter
15%
Elastic Membrane
15%
Performance Improvement
15%
Critical Length
15%
Mass Transfer
15%
Experimental Measurement
15%
Pclet Number
15%
Experimental Result
15%
Tension Surface
15%
Human Experiment
9%
Two Dimensional
9%
Model Reduction
9%
Human Performance
9%
Related Standard
9%
Feedback Control System
9%
Hopf Bifurcation
9%
Numerical Example
9%
Lyapunov Function
9%
Stable Limit Cycle
9%
Keyphrases
Limit Cycle Behavior
30%
Multi-armed Bandit Problem
30%
Bounded Random Variable
30%
Subgaussian Random Variables
30%
Hoeffding's Inequality
30%
Bounded Rewards
30%
Robotic Obstacle Avoidance
30%
Softmax
30%
Spatial Point Process Models
30%
Planar Template
30%
Self-folding
30%
Induced Folding
30%
Gaussian Process Bandit
30%
Human-inspired
30%
Explore-exploit
30%
Robotic Measurements
30%
Elastic Bending Energy
30%
Planar Sheets
30%
Critical Length Scale
30%
Dewetting Transition
30%
Fluid-structure Problem
30%
Refined Modeling
30%
Spherical Robot
30%
Logarithmic Regret
20%
Credible Limits
20%
Block Allocation
15%
Engineering Optimization
15%
Multi-objective Reward
15%
Transition Costs
15%
Human Choice
15%
Human Choice Behaviour
15%
Choice Data
15%
Robot Control
15%
Goal Selection
15%
Reward-based Decision-making
9%
Finite number
9%
Softmax Selection
9%
Sufficient Conditions for Convergence
9%
Nonlinear Objective Function
9%
Stochastic Decision Making
9%
Decision-making Performance
9%
Lyapunov-Schmidt
9%
Inverse Cumulative Distribution Function
9%
Supercritical pitchfork Bifurcation
9%
Lyapunov-Schmidt Reduction
9%
Reactive Sensors
9%
Risky Decision Making
9%
Vegetated Dunes
9%
Energy Consumption Analysis
9%
Internal Actuation
9%
Computer Science
Decision-Making
100%
Optimal Performance
69%
Transition Cost
50%
Human Decision Making
39%
Point Attractor
30%
Performance Improvement
30%
Multidisciplinary Design Optimization
30%
Decision Maker
30%
path planning problem
30%
Parameter Value
30%
Computational System
30%
Obstacle Avoidance
30%
Robot
30%
Multi-Objective Optimization
30%
Robot Navigation
30%
robotic platform
30%
Design Optimization
30%
Multiobjective
30%
Experimental Result
30%
Diffusion Model
30%
Objective Function
30%
Temperature Parameter
20%
Numerical Example
19%
Choice Behavior
15%
Good Performance
15%
Sequential Decision Making
15%
Hybrid Automaton
15%
Physical Hardware
15%
Robotics Application
15%
Feedback Control
9%
Heuristic Solution
9%
Modeling Error
9%
Human Performance
9%
Design Discipline
7%
Basins of Attraction
7%
Dynamical System Approach
7%
