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Xikai Tu

4 accepted papers

2023

A Robotic Assistance Personalization Control Approach of Hip Exoskeletons for Gait Symmetry Improvement

IROS 2023poster

Healthy human locomotion functions with good gait symmetry depend on rhythmic coordination of the left and right legs, which can be deteriorated by neurological disorders like stroke and spinal cord injury. Powered exoskeletons are promising devices to improve impaired people's locomotion functions,…

Cited by 6SourceScholar
2022

Admittance Control Based Human-in-the-Loop Optimization for Hip Exoskeleton Reduces Human Exertion during Walking

ICRA 2022poster

Human-in-the-loop (HIL) optimization usually optimizes assistive torque of exoskeletons to minimize the human's energetic expenditure in walking, quantified by metabolic cost. This formulation can, however, result in altered gait pattern of the human joint from the natural pattern, which is undesire…

Cited by 11SourceScholar
2022

Imposing Healthy Hip Motion Pattern and Range by Exoskeleton Control for Individualized Assistance

RA-L 2022

Powered exoskeletons are promising devices to improve the walking patterns of people with neurological impairments. Providing personalized external assistance though is challenging due to uncertainties and the time-varying nature of human-robot interaction. Recently, human-in-the-loop (HIL) optimiza

Cited by 24SourceScholar
2021

A Data-Driven Reinforcement Learning Solution Framework for Optimal and Adaptive Personalization of a Hip Exoskeleton

ICRA 2021poster

Robotic exoskeletons are exciting technologies for augmenting human mobility. However, designing such a device for seamless integration with the human user and to assist human movement still is a major challenge. This paper aims at developing a novel data-driven solution framework based on reinforce…

Cited by 37SourceScholar