Combining multi-level real-time iterations of Nonlinear Model Predictive Control to realize squatting motions on Leo

Engineering

• Nonlinear Model 100%
• Predictive Control Model 100%
• Robot 66%
• Optimal Control 66%
• Humanoid Robot 33%
• Evaluation 33%
• Degree of Freedom 33%
• Models 33%
• Body Motion 33%
• Realization 33%
• Linearization 33%
• Computational Time 33%
• Control Engineer 33%
• Rate Control 33%
• Mechanical Systems 33%
• Research 33%
• Robotics 33%
• Control Scheme 33%
• Multibody Dynamics 33%
• Complexity 33%
• Tasks 33%
• Shortfall 33%

INIS

• control 100%
• levels 100%
• motion 100%
• nonlinear problems 100%
• robots 50%
• feedback 33%
• optimal control 33%
• dynamics 16%
• sensitivity 16%
• universities 16%
• evaluation 16%
• degrees of freedom 16%
• engineers 16%
• humans 16%

Keyphrases

• Locomotion Skills 33%
• Repeated Calls 33%
• Complex Mechanical Systems 33%
• Control Rate 33%
• Whole-body Movement 33%
• Thread-based 33%