Robohub.org
ep.

250

podcast
 

Learning Prosthesis Control Parameters with Helen Huang

by
24 December 2017



share this:

In this interview, Audrow Nash interviews Helen Huang, Joint Professor at the University of North Carolina at Chapel Hill and North Carolina State, about a method of tuning powered lower limb prostheses. Huang explains how powered prostheses are adjusted for each patient and how she is using supervised and reinforcement learning to tune prosthesis. Huang also discusses why she is not using the energetic cost of transport as a metric and the challenge of people adapting to a device while it learns from them.

Helen Huang

Helen Huang is a Professor in the Joint Department of Biomedical Engineering at the University of North Carolina at Chapel Hill (UNC) and North Carolina State University (NCSU) and the Director of the NCSU/UNC Closed-Loop Engineering for Advanced Rehabilitation (CLEAR) Core. Huang is interested in neural-machine interfaces for prostheses and exoskeletons, wearer-robot interaction, adaptive and optimal control of wearable robots, and human movement control. She has developed an EMG-based neural interface for robotic prosthetic legs. She was a recipient of the Delsys Prize for Innovation in Electromyography, the Mary E. Switzer Fellowship with the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR), and a NSF CAREER Award and was named NC State faculty scholar in 2015.

 

Links



tags: , , , , ,


Audrow Nash is a Software Engineer at Open Robotics and the host of the Sense Think Act Podcast
Audrow Nash is a Software Engineer at Open Robotics and the host of the Sense Think Act Podcast





Related posts :



An inventory of robotics roadmaps to better inform policy and investment

Silicon Valley Robotics in partnership with the Industrial Activities Board of the IEEE Robotics and Automation Society, is compiling an up to date resource list of various robotics, AIS and AI roadmaps, national or otherwise.
29 November 2021, by

Robots can be companions, caregivers, collaborators — and social influencers

People are hardwired to respond socially to technology that presents itself as even vaguely social. While this may sound like the beginnings of a Black Mirror episode, this tendency is precisely what allows us to enjoy social interactions with robots and place them in caregiver, collaborator or companion roles.
26 November 2021, by

Interview with Tao Chen, Jie Xu and Pulkit Agrawal: CoRL 2021 best paper award winners

The award-winning authors describe their work on a system for general in-hand object re-orientation.
24 November 2021, by
ep.

341

podcast

How Simbe Robotics is Innovating in Retail, with Brad Bogolea

Brad Bogolea discusses the innovation behind Tally, the autonomous robot from Simbe Robotics. Tally collects real-time analytics inside retail stores to improve the customer shopping experience, as well as the efficiency of managing the store.
23 November 2021, by

Top 10 recommendations for a video gamer who you’d like to read (or even just touch) a book

Here is the Robotics Through Science Fiction Top 10 recommendations of books that have robots plus enough world building to rival Halo or Doom and lots of action or puzzles to solve. What’s even cooler is that you can cleverly use the “Topics” links to work in some STEM talking points.
20 November 2021, by

Top tweets from the Conference on Robot Learning #CoRL2021

In this post we bring you a glimpse of the conference through the most popular tweets about the conference written last week. Cool robot demos, short and sweet explanation of papers and award finalists to look forward to next year's edition.
19 November 2021, by





©2021 - ROBOTS Association


 












©2021 - ROBOTS Association