Evidence map›Paper›PMID 36338603›Full record

ArticleIEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society2022

Modeling and Stiffness-based Continuous Torque Control of Lightweight Quasi-Direct-Drive Knee Exoskeletons for Versatile Walking Assistance.

Tzu-Hao Huang, Sainan Zhang, Shuangyue Yu, Mhairi K MacLean, Junxi Zhu, Antonio Di Lallo, Chunhai Jiao, Thomas C Bulea, Minghui Zheng, Hao Su

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
6.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 79 citations in OpenAlex.

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  8. Compact and Foldable Hip Exoskeleton With High Torque Density Actuator for Walking and Stair-Climbing Assistance in Young and Older Adults.IEEE/ASME transactions on mechatronics : a joint publication of the IEEE Industrial Electronics Society and the ASME Dynamic Systems and Control Division · 2025
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  13. A Modular Framework for Task-Agnostic, Energy Shaping Control of Lower Limb Exoskeletons.IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society · 2024
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  18. Combining neural stimulation and a powered exoskeletal knee to enhance walking after stroke.Journal of rehabilitation and assistive technologies engineering
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Tzu-Hao HuangLab of Biomechatronics and Intelligent Robotics (BIRO), Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695, US.
Sainan ZhangLab of Biomechatronics and Intelligent Robotics (BIRO), Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695, US.
Shuangyue YuLab of Biomechatronics and Intelligent Robotics (BIRO), Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695, US.
Mhairi K MacLeanLab of Biomechatronics and Intelligent Robotics; Department of Mechanical Engineering at the University of Twente, Netherlands.
Junxi ZhuLab of Biomechatronics and Intelligent Robotics (BIRO), Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695, US.
Antonio Di LalloLab of Biomechatronics and Intelligent Robotics (BIRO), Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695, US.
Chunhai JiaoLab of Biomechatronics and Intelligent Robotics (BIRO), Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695, US.
Thomas C BuleaFunctional and Applied Biomechanics Section, Rehabilitation Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, US.
Minghui ZhengDepartment of Mechanical and Aerospace Engineering, the University at Buffalo, The State University of New York, New York, 14260, US.
Hao SuLab of Biomechatronics and Intelligent Robotics (BIRO), Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695, US.
North Carolina State University · USNational Institutes of Health Clinical Center · USUniversity at Buffalo, State University of New York · USUniversity of Twente · NL

Funding

CPS: Medium: Collaborative Research: User and Environment Interactive Planning and Control of Artificial Lower Limbs for Resilient Locomotion R01EB029765 · NIBIB · CARNEGIE-MELLON UNIVERSITY · PI GEYER, HARTMUT, SU, HAO · 2019 to 2021
$1.1M
ACL HHS 90DPGE0011NIBIB NIH HHS R01 EB029765
6 · The paper itself

Abstract

State-of-the-art exoskeletons are typically limited by low control bandwidth and small range stiffness of actuators which are based on high gear ratios and elastic components (e.g., series elastic actuators). Furthermore, most exoskeletons are based on discrete gait phase detection and/or discrete stiffness control resulting in discontinuous torque profiles. To fill these two gaps, we developed a portable lightweight knee exoskeleton using quasi-direct drive (QDD) actuation that provides 14 Nm torque (36.8% biological joint moment for overground walking). This paper presents 1) stiffness modeling of torque-controlled QDD exoskeletons and 2) stiffness-based continuous torque controller that estimates knee joint moment in real-time. Experimental tests found the exoskeleton had high bandwidth of stiffness control (16 Hz under 100 Nm/rad) and high torque tracking accuracy with 0.34 Nm Root Mean Square (RMS) error (6.22%) across 0-350 Nm/rad large range stiffness. The continuous controller was able to estimate knee moments accurately and smoothly for three walking speeds and their transitions. Experimental results with 8 able-bodied subjects demonstrated that our exoskeleton was able to reduce the muscle activities of all 8 measured knee and ankle muscles by 8.60%-15.22% relative to unpowered condition, and two knee flexors and one ankle plantar flexor by 1.92%-10.24% relative to baseline (no exoskeleton) condition.

Indexed as

force/torque controlKnee exoskeletonquasi-direct drive actuationstiffness control

Identifiers

PMID36338603
PMCPMC9629792
OpenAlexW4285191973

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.