首页|Data on Robotics Reported by Zaheer Osman and Colleagues (Modelling human postur al stability and muscle activation augmented by a supernumerary robotic tail)

Data on Robotics Reported by Zaheer Osman and Colleagues (Modelling human postur al stability and muscle activation augmented by a supernumerary robotic tail)

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New research on Robotics is the subjec t of a report. According to news reporting originating from Leicester, United Ki ngdom, by NewsRx correspondents, research stated, "Wearable robots have promisin g characteristics for human augmentation; however, the the design and specificat ion stage needs to consider biomechanical impact. In this work, musculoskeletal software is used to assess the biomechanical implications of having a two-degree s-of-freedom supernumerary robotic tail mounted posterior to the human trunk." Financial support for this research came from Engineering and Physical Sciences Research Council. Our news editors obtained a quote from the research, "Forward and backward tilti ng motions were assessed to determine the optimal design specification. Specific ally; the key criteria utilised included the centre of pressure, the dynamic wre nch exerted by the tail onto the human body and a global muscle activation index . Overall, it was found that use of a supernumerary tail reduced lower limb musc le activation in quiet stance."

LeicesterUnited KingdomEuropeBiome chanical EngineeringBusinessEmerging TechnologiesMachine LearningRobotic sRobots

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.8)