Hardware Podcasts

187: Self-Driving Arm (Repeat)

Embedded.fm · 2 May 2019 · 1h 12m · Episode 187

What this episode covers

Patrick Pilarski, a Canada Research Chair in Machine Intelligence for Rehabilitation at the University of Alberta, discusses the development of smart prosthetic limbs that use machine learning to restore function for amputees. He explains how reinforcement learning allows prosthetics to learn from trial-and-error or by observing a user's healthy limb, addressing the challenge of mapping limited biological signals to complex robotic movements. Pilarski highlights the shift from traditional myoelectric controls to systems that predict user intent and context, such as using cameras to identify objects like soup or doorknobs to automate grip patterns.

Most relevant to

early-stage companies

Topics

Mentioned

Companies
University of Alberta, Alberta Machine Intelligence Institute, Robotis, Coapt, Thalmic Labs
Products
Myo
Tools
Weka, OpenIA Gym
Also
Cybathlon

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