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Hip osteoarthritis (OA) affects millions worldwide, yet effective conservative (non-surgical) treatments are still limited. Conventional hip braces cannot reduce painful joint loads associated with contractile forces from flexors and extensors during locomotion. Powered hip exoskeletons could potentially reduce biological hip moments by applying flexion/extension torques, thus attenuating muscle forces that contribute to OA pain. Here, we present a novel task-agnostic controller for a backdrivable hip exoskeleton that relieves hip O A pain across the primary activities of daily life. Inspired by the energy shaping method, this controller utilizes biomechanicsbased components to assist with level walking, ramp and stairs ascent/descent, and sit-to-stand transitions, which can be customized to different populations, like hip OA. In a pilot study with three hip OA participants, the hip exoskeleton holistically reduced pain and perceived difficulty during a multi-activity test (except difficulty of level walking). The exoskeleton also increased hip range of motion during walking, with subject-specific improvements in walking speed. This pilot study suggests that hip exoskeletons may offer a promising new intervention for managing hip O A.
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http://dx.doi.org/10.1109/ICORR66766.2025.11063157 | DOI Listing |
IEEE Trans Neural Syst Rehabil Eng
September 2025
Dynamic optimization is a versatile control tool to determine optimal control inputs in a redundantly actuated wearable robot. However, dynamic optimization requires high computational resources for real-time implementation. In this paper, we present a bio-inspired control approach, based on the principle of muscle synergies, to reduce the computational cost of optimization.
View Article and Find Full Text PDFSci Rep
August 2025
Faculty of Economics and Business, Universitas Brawijaya, Malang, Indonesia.
The proof-of-concept study for a hip and knee joint actuated exoskeleton developed for repetitive manual lifting and carrying tasks is investigated. Fifteen participants completed the study which involved two laboratory manual handling tasks of (1) lifting a box weighing 9.5 kg (repeated in three trials as a standalone task) and (2) lifting and carrying same box over a distance (repeated in three trials as a single combined task), with and without the use of the exoskeleton suit.
View Article and Find Full Text PDFPLoS One
August 2025
Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey, United States of America.
The overall goal of this study was to develop a computational framework to quantify hip, knee, and ankle joint forces during exoskeletal-assisted walking (EAW) in the ReWalk P6.0, an FDA-approved lower-extremity exoskeleton. The first objective was to quantify hip, knee, and ankle joint forces during unassisted walking and compare the results to existing in vivo and simulation data.
View Article and Find Full Text PDFIEEE Trans Med Robot Bionics
May 2025
Department of Mechanical Engineering and the Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, 30332 USA.
Fall incidents due to slips are some of the most common causes of injuries for industry workers and older adults, motivating research to assist balance recovery following slips. To assist balance recovery during a slip, a detection algorithm that can work with an assistive device, such as an exoskeleton, needs to be able to detect slips rapidly after onset, which remains a critical gap in the field. Here, we compared the ability of linear discriminant analysis (LDA), extreme gradient boosting (XGBoost), and convolutional neural networks (CNN) to detect slip using only native sensors on a hip exoskeleton.
View Article and Find Full Text PDFJ Biomech
October 2025
Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, GA, USA; George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA; Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, A