Human-in-the-loop optimization of exoskeleton assistance during walking

By Juanjuan Zhang, P. Fiers, K. Witte, Rachel W. Jackson, Katherine L Poggensee, Christopher G. Atkeson, Steven H. Collins. Science, 2017

900 citations recorded by the source corpus.

Subfields: Biomedical Engineering

View Paper: https://www.semanticscholar.org/paper/71fb33acf176bed0482af92c497ca25bc870d55b

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. Ye Ding
2. Allison M. Okamura
3. Scott Kuindersma
4. Conor James Walsh

Citations in the corpus

• Haptics: The Present and Future of Artificial Touch Sensation (2018, background): “How they should be designed and controlled in order to optimize performance for applications such as rehabilitation and user assistance is the subject of current research, which integrates design, control, biomechanics, and neuroscience (13).”
• Human-in-the-loop optimization of hip assistance with a soft exosuit during walking (2018, methodology): “In these cases, substantial metabolic reductions were achieved with the optimal parameter settings identified by either a one-dimensional (1D) gradient descent method using a pneumatically actuated ankle exoskeleton for a fixed 50 min (9) or a 4D Covariance Matrix Adaptation Evolution Strategy (CMA-”