Robot Technology News  
ROBO SPACE
Personalized exoskeletons are taking support one step farther
by Staff Writers
Washington DC (SPX) Jun 26, 2017


illustration only

Researchers have developed an exoskeleton system that provides personalized support for its user. In healthy volunteers, the optimized exoskeleton reduced energy expenditure during walking by 24%, on average, compared to when the system was not providing personalized support.

Exoskeletons can help enhance human abilities, for example by allowing people to lift greater weight or expend less energy during rehabilitation.

Yet, because each person exhibits unique natural movements, a one-size-fits-all exoskeleton approach will not work, research shows. For example, one person may rotate their ankle more than another, as they walk.

To create a more personalized exoskeleton, Juanjuan Zhang et al. developed a system that measures an individual's energy expenditure as the exoskeleton, which supports the user's ankle during walking, subtly changes its pattern of assistance.

In this case, the system alters its support of ankle movements in four areas: peak torque (rotation), timing of peak torque, and rise and fall times. Over the course of about one hour of walking, the system identifies which patterns of support help the person expend the least amount of energy.

With the exoskeleton optimized for torque support on just one ankle, 11 volunteers experienced a 24% reduction in energy expenditure, on average, while walking. One volunteer who wore the optimized exoskeleton on both ankles experienced a 33% reduction in energy expenditure.

Intriguingly, participants who engaged in additional rounds of walking with the optimized exoskeleton experienced further reductions in energy expenditure, suggesting that users who stick with the device may undergo their own subtle adaptations, resulting in further optimization. This advance is highlighted in a Perspective by Philippe Malcolm et al.

Research Report

ROBO SPACE
Learning with light: New system allows optical 'deep learning'
Boston MA (SPX) Jun 16, 2017
"Deep Learning" computer systems, based on artificial neural networks that mimic the way the brain learns from an accumulation of examples, have become a hot topic in computer science. In addition to enabling technologies such as face- and voice-recognition software, these systems could scour vast amounts of medical data to find patterns that could be useful diagnostically, or scan chemical form ... read more

Related Links
American Association for the Advancement of Science
All about the robots on Earth and beyond!


Thanks for being here;
We need your help. The SpaceDaily news network continues to grow but revenues have never been harder to maintain.

With the rise of Ad Blockers, and Facebook - our traditional revenue sources via quality network advertising continues to decline. And unlike so many other news sites, we don't have a paywall - with those annoying usernames and passwords.

Our news coverage takes time and effort to publish 365 days a year.

If you find our news sites informative and useful then please consider becoming a regular supporter or for now make a one off contribution.
SpaceDaily Contributor
$5 Billed Once


credit card or paypal
SpaceDaily Monthly Supporter
$5 Billed Monthly


paypal only


Comment using your Disqus, Facebook, Google or Twitter login.

Share this article via these popular social media networks
del.icio.usdel.icio.us DiggDigg RedditReddit GoogleGoogle

ROBO SPACE
Insitu receives $45 million contract extension for SOCOM UAVs

US-led coalition downs Iran-made drone in Syria

Can use of a drone improve response times for out-of-hospital cardiac arrests compared to an ambulance

Leonardo debuts new target drone at Paris Air Show

ROBO SPACE
A more sustainable way to refine metals

NREL-led research effort creates new alloys, phase diagram

Scientists develop molecular code for melanin-like materials

Sea urchin protein provides insights into self-assembly of skeletal structures

ROBO SPACE
New design improves performance of flexible wearable electronics

To connect biology with electronics, be rigid, yet flexible

Seeing the invisible with a graphene-CMOS integrated device

Breakthrough by Queen's University paves way for smaller electronic devices

ROBO SPACE
Toshiba delays results again citing US nuclear unit

Russia sells stake in Akkuyu nuclear plant project in Turkey

S. Korea to scrap all plans to build new nuclear reactors

Japan court clears way for nuclear reactor restarts

ROBO SPACE
Google steps up efforts to block extremism, following Facebook

Two dead as suspected jihadists attack Mali tourist resort

Sharp rise in violent Islamist extremists in Sweden: intelligence

Russia says may have killed IS chief Abu Bakr al-Baghdadi

ROBO SPACE
Low-carbon trajectory is the only option, European leaders say

Divestment streak continues for British energy company Centrica

New ultrathin material for splitting water could make hydrogen production cheaper

Keeping the hydrogen coming

ROBO SPACE
New efficient, low-temperature catalyst for hydrogen production

Deceleration of runaway electrons paves the way for fusion power

Battery improvements spark HEV EV market breakthrough

Clean energy stored in electric vehicles to power buildings

ROBO SPACE
China to launch four more probes before 2021

New broadcasting satellite fails to enter preset orbit

China launches remote-sensing micro-nano satellites

China's cargo spacecraft completes second in-orbit refueling









The content herein, unless otherwise known to be public domain, are Copyright 1995-2024 - Space Media Network. All websites are published in Australia and are solely subject to Australian law and governed by Fair Use principals for news reporting and research purposes. AFP, UPI and IANS news wire stories are copyright Agence France-Presse, United Press International and Indo-Asia News Service. ESA news reports are copyright European Space Agency. All NASA sourced material is public domain. Additional copyrights may apply in whole or part to other bona fide parties. All articles labeled "by Staff Writers" include reports supplied to Space Media Network by industry news wires, PR agencies, corporate press officers and the like. Such articles are individually curated and edited by Space Media Network staff on the basis of the report's information value to our industry and professional readership. Advertising does not imply endorsement, agreement or approval of any opinions, statements or information provided by Space Media Network on any Web page published or hosted by Space Media Network. General Data Protection Regulation (GDPR) Statement Our advertisers use various cookies and the like to deliver the best ad banner available at one time. All network advertising suppliers have GDPR policies (Legitimate Interest) that conform with EU regulations for data collection. By using our websites you consent to cookie based advertising. If you do not agree with this then you must stop using the websites from May 25, 2018. Privacy Statement. Additional information can be found here at About Us.