15 citations · 16 across the 3 of their papers we have counts for
6 papers
Deep Convolutional Neural Network and Transfer Learning for Locomotion Intent Prediction
Duong Le, Shihao Cheng, Robert D. Gregg +1
Powered prosthetic legs must anticipate the user's intent when switching between different locomotion modes (e.g., level walking, stair ascent/descent, ramp ascent/descent). Numero…
Enhancing Voluntary Motion with Modular, Backdrivable, Powered Hip and Knee Orthoses
Christopher Nesler, Gray Thomas, Nikhil Divekar +2
Mobility disabilities are prominent in society with wide-ranging detriments to affected individuals. Addressing the specific deficits of individuals within this heterogeneous popul…
Lower-limb kinematics and kinetics during continuously varying human locomotion
Emma Reznick, Kyle R. Embry, Ross Neuman +3
Human locomotion involves continuously variable activities including walking, running, and stair climbing over a range of speeds and inclinations as well as sit-stand, walk-run, an…
Robust Optimal Design of Energy Efficient Series Elastic Actuators: Application to a Powered Prosthetic Ankle
Edgar Bolívar, Siavash Rezazadeh, Tyler Summers +1
Design of robotic systems that safely and efficiently operate in uncertain operational conditions, such as rehabilitation and physical assistance robots, remains an important chall…
A Phase Variable Approach for Improved Rhythmic and Non-Rhythmic Control of a Powered Knee-Ankle Prosthesis
Siavash Rezazadeh, David Quintero, Nikhil Divekar +3
Although there has been recent progress in control of multi-joint prosthetic legs for rhythmic tasks such as walking, control of these systems for non-rhythmic motions and general…
Minimizing Energy Consumption and Peak Power of Series Elastic Actuators: a Convex Optimization Framework for Elastic Element Design
Edgar Bolívar, Siavash Rezazadeh, Robert Gregg
Compared to rigid actuators, Series Elastic Actuators (SEAs) offer a potential reduction of motor energy consumption and peak power, though these benefits are highly dependent on t…