Hierarchical quadratic programming: Fast online humanoid-robot motion generation

By Adrien Escande, Nicolas Mansard, Pierre-Brice Wieber. Int. J. Robotics Res., 2014

590 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/57e38cf343a6fc19c9ab5a101983b6df1b6822d0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Benjamin Katz
2. Jared Di Carlo
3. Sangbae Kim
4. Gerardo Bledt
5. Donghyun Kim
6. Gabriel B. Margolis
7. Jie Tan
8. Tingnan Zhang

In Control and Systems Engineering

1. Benjamin Katz
2. Sangbae Kim
3. Jared Di Carlo

Citations in the corpus

• Highly Dynamic Quadruped Locomotion via Whole-Body Impulse Control and Model Predictive Control (2019, methodology): “Therefore, we simply relax the floating base dynamics rather than strictly govern the prioritized task execution by utilizing complex algorithms such as hierarchical quadratic programming [22].”