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

Today’s humanoid robots are complex mechanical systems with many degrees of freedom that are built to achieve locomotion skills comparable to humans. In order to synthesize whole-body motions, real-tme capable direct methods of optimal control are a subject of contemporary research. To this end, Nonlinear Model Predictive Control is the method...

Control loops with human operators in space operations: part V: executive summary

This volume comprises the executive summary of the final report of the study on Control Loops with Human Operators in Space Operations, performed for the European Space Agency (ESA). It summarises the following four volumes: Part I : Human Engineering Analysis, Synthesis and Evaluation Techniques (NLR) Part II : Robotics Operations and Manual...