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Rachel Gehlhar

4 papers hereh-index 9810 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.RO2
  • eess.SY2

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.RO2022

Emulating Human Kinematic Behavior on Lower-Limb Prostheses via Multi-Contact Models and Force-Based Nonlinear Control

Rachel Gehlhar, Aaron D. Ames

Ankle push-off largely contributes to limb energy generation in human walking, leading to smoother and more efficient locomotion. Providing this net positive work to an amputee req…

eess.SY2020

Model-Dependent Prosthesis Control with Interaction Force Estimation

Rachel Gehlhar, Aaron D. Ames

Current prosthesis control methods are primarily model-independent - lacking formal guarantees of stability, relying largely on heuristic tuning parameters for good performance, an…

cs.RO2020

Data-driven Characterization of Human Interaction for Model-based Control of Powered Prostheses

Rachel Gehlhar, Yuxiao Chen, Aaron D. Ames

This paper proposes a data-driven method for powered prosthesis control that achieves stable walking without the need for additional sensors on the human. The key idea is to extrac…

eess.SY2020

Recurrent Neural Network Control of a Hybrid Dynamic Transfemoral Prosthesis with EdgeDRNN Accelerator

Chang Gao, Rachel Gehlhar, Aaron D. Ames +2

Lower leg prostheses could improve the life quality of amputees by increasing comfort and reducing energy to locomote, but currently control methods are limited in modulating behav…

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