首页|Researchers from Rutgers University - The State University of New Jersey Detail Findings in Robotics and Automation (Knee Exoskeleton-enabled Balance Control of Human Walking Gait With Unexpected Foot Slip)

Researchers from Rutgers University - The State University of New Jersey Detail Findings in Robotics and Automation (Knee Exoskeleton-enabled Balance Control of Human Walking Gait With Unexpected Foot Slip)

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Researchers detail new data in Robotics - Robotics and Automation. According to news reporting out of Piscataway, New Jersey, by NewsRx editors, research stated, “Foot slip is one of the leading causes of fall-related injuries during human walking. The underlying slip dynamics help understand bipedal recoverability under gait perturbation and therefore provide a tool to design proactive slip-induced fall prevention strategies.” Financial support for this research came from National Science Foundation (NSF). Our news journalists obtained a quote from the research from the Rutgers University - The State University of New Jersey, “We present a new integrated wearable sensing and exoskeleton-enabled fall prevention under unexpected foot slip. The real-time slip detection is realized with a set of small, wearable inertial measurements units on both legs. We use the balance recoverability and inter-limb coordination analyses to design the balance recovery strategies. The bilateral knee exoskeleton provides assistive torque control and helps walker to follow the designed gait recovery strategies. Multiple subject experiments are presented to demonstrate the exoskeleton-enabled recovery under foot slip. Various critical metrics, including slip distance, velocity, swing leg touch-down time, are systematically compared to assess the efficacy of both the exoskeleton and the controller.”

PiscatawayNew JerseyUnited StatesNorth and Central AmericaRobotics and AutomationRoboticsRutgers University - The State University of New Jersey

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.19)
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