Carnegie Mellon University (CMU) researchers developed algorithm-based feedback system that automatically adjusts exoskeleton to minimize energy used while walking

Briefing

Carnegie Mellon University (CMU) researchers developed algorithm-based feedback system that automatically adjusts exoskeleton to minimize energy used while walking

August 16, 2017

Briefing

  • Personalized Exoskeleton – Carnegie Mellon University (CMU) College of Engineering researchers developed new automated feedback system using algorithm that allows exoskeletons to self-adjust ankle mechanisms to minimize energy when walking, optimizing performance and efficiency
  • Exoskeleton Benefits – Can augment human abilities, such as walking, lifting heavy objects, and playing sports, as well as allows stroke patients to walk again
  • Laboratory Tests – 11 human test subjects walking on treadmill with exoskeleton and respiratory mask to measure oxygen and carbon dioxide levels spent 24% less effort than participants walking with exoskeleton turned off

Accelerator

Sector

Healthcare/Health Sciences, Information Technology

Organization

Carnegie Mellon University

Source

Original Publication Date

June 22, 2017

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