Katherine L. Poggensee, Ph.D.

Affiliations:	2010-2014	Movement Science, Math	University of Michigan, Ann Arbor, Ann Arbor, MI
	2014-2017	Mechanical Engineering	Carnegie Mellon University, Pittsburgh, PA
	2017-2021	Mechanical Engineering	Stanford University, Palo Alto, CA
	2021-	Rehabilitation Medicine	Erasmus Medical Center Rotterdam, Rotterdam, Netherlands
	2021-	Mechanical Engineering	Delft University of Technology, Delft, Zuid-Holland, Netherlands

Daniel P. Ferris	research assistant		University of Michigan
Steven H. Collins	grad student	2014-2021	Stanford
Koushil Sreenath	grad student	2014-2021	Carnegie Mellon (Robotree)
Laura Marchal-Crespo	post-doc	2023-	Delft University of Technology (Robotree)

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Slade P, Atkeson C, Donelan JM, et al. (2024) On human-in-the-loop optimization of human-robot interaction. Nature. 633: 779-788
Poggensee KL, Collins SH. (2024) Lower limb biomechanics of fully trained exoskeleton users reveal complex mechanisms behind the reductions in energy cost with human-in-the-loop optimization. Frontiers in Robotics and Ai. 11: 1283080
Sterke BT, Poggensee KL, Ribbers GM, et al. (2023) Light-Weight Wearable Gyroscopic Actuators Can Modulate Balance Performance and Gait Characteristics: A Proof-of-Concept Study. Healthcare (Basel, Switzerland). 11
Abram SJ, Poggensee KL, Sánchez N, et al. (2022) General variability leads to specific adaptation toward optimal movement policies. Current Biology : Cb
Poggensee KL, Collins SH. (2021) How adaptation, training, and customization contribute to benefits from exoskeleton assistance. Science Robotics. 6: eabf1078
Zhang J, Fiers P, Witte KA, et al. (2017) Human-in-the-loop optimization of exoskeleton assistance during walking. Science (New York, N.Y.). 356: 1280-1284
Kline JE, Poggensee K, Ferris DP. (2014) Your brain on speed: cognitive performance of a spatial working memory task is not affected by walking speed. Frontiers in Human Neuroscience. 8: 288