The findings indicate that biological torque mappings should be evaluated based on the target outcome and mechanical role of the assisted joint, and that predominantly positive-power assistance may not generalize to negative-work-dominant locomotion without modification.
Abstract
Biological torque control directly maps an estimated human joint moment to exoskeleton assistance, providing a task-agnostic strategy for supporting diverse locomotor activities. However, it remains unclear whether a fixed state-to-torque mapping provides effective assistance across biomechanically distinct tasks. We examined how assistance delay affected hip exoskeleton performance during level-ground (LG), ramp-ascent (RA), and ramp-descent (RD) walking. Eight participants completed a zero-torque baseline condition and five active assistance conditions with delays ranging from 40 to 320 ms. Across tasks and active delays, assistance reduced net metabolic rate by 5.24%, positive biological hip joint work by 5.86%, and total lower-limb positive joint work by 1.68% (all p<0.05). Assistance delay affected both joint-work outcomes (both p<0.001) but not net metabolic rate. Mechanical unloading generally decreased with increasing delay, whereas metabolic benefits remained comparatively stable. Relative to the zero-torque condition, net metabolic rate decreased by 9.75% during LG and 7.20% during RA but increased by 1.23% during RD. We did not detect task-dependent differences in the delay response. Our findings indicate that biological torque mappings should be evaluated based on the target outcome and mechanical role of the assisted joint, and that predominantly positive-power assistance may not generalize to negative-work-dominant locomotion without modification.
Lower-limb exoskeletons have made considerable progress in reducing energy expenditure during walking. However, designing optimal assistance strategies remains challenging, particularly given inter-individual variability in anthropometry and biomechanics. This study explores energy-optimal lower-limb joint-assistance s...
Neethan Ratnakumar, Mariya Tohfafarosh, Xian-Lian Zhou· 0 citations
Hip exoskeletons may improve recovery from unexpected gait perturbations, yet personalizing assistance remains difficult because balance is multidimensional and human-in-the-loop experiments are small-sample and noisy. We present a participant-specific composite balance cost that integrates seven biomechanical sub-metr...
Ground-truth human joint torque estimation relies on motion capture systems, which suffer from limited outdoor usability and significant deployment expenses. Furthermore, direct scaling of ground-truth joint torques to obtain motor torque commands is not necessarily the optimal strategy. To address the aforementioned l...
Xiao-Yin Liu, Guo-Tao Li, Weiqun Wang et al.· arXiv.org· 0 citations
As the capabilities of powered lower-limb prostheses continue to improve, there is an opportunity to shift the focus of prosthetic control beyond purely joint-level considerations and incorporate whole-body task-based information to better coordinate user and device interaction. This paper presents a control framework,...
David J. Kelly, Grace Henderson, Edgar A. Bolívar-Nieto et al.· IEEE transactions on neural...· 0 citations
Wearable devices such as lower-limb exoskeletons are increasingly proposed to support mobility, assist activities of daily living, and aid rehabilitation. However, quantifying the quality of interaction between human and robot remains a critical challenge, particularly when considering neuromuscular coordination during...
Nicol Moscatelli, Valentina Lanzani, C. Brambilla et al.· Human Movement Science· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.