Evidence map›Paper›PMID 33746504›Full record

ArticleIEEE/ASME transactions on mechatronics : a joint publication of the IEEE Industrial Electronics Society and the ASME Dynamic Systems and Control Division2020

Quasi-Direct Drive Actuation for a Lightweight Hip Exoskeleton with High Backdrivability and High Bandwidth.

Shuangyue Yu, Tzu-Hao Huang, Xiaolong Yang, Chunhai Jiao, Jianfu Yang, Yue Chen, Jingang Yi, Hao Su

Abstract read
In one paragraph

Article in IEEE/ASME transactions on mechatronics : a joint publication of the IEEE Industrial Electronics Society and the ASME Dynamic Systems and Control Division, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. PositiveAssist: Energy-Gated Control for Positive Power Assistance of Exoskeleton in Walking, Running, and Stair Climbing.IEEE/ASME transactions on mechatronics : a joint publication of the IEEE Industrial Electronics Society and the ASME Dynamic Systems and Control Division · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. 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
    Article
  7. Review
  8. Article
  9. Article
  10. A Lightweight Powered Hip Exoskeleton With Parallel Actuation for Frontal and Sagittal Plane Assistance.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2025
    Article
  11. Online Adaptation Framework Enables Personalization of Exoskeleton Assistance During Locomotion in Patients Affected by Stroke.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2025
    Article
  12. Article
  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
    Article
  14. TheraDyad: Feasibility of an Affordable Robot for Multi-User Stroke Rehabilitation.Proceedings of the ... IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics. IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics · 2024
    Article
  15. Article
  16. Article
  17. Design and Backdrivability Modeling of a Portable High Torque Robotic Knee Prosthesis With Intrinsic Compliance For Agile Activities.IEEE/ASME transactions on mechatronics : a joint publication of the IEEE Industrial Electronics Society and the ASME Dynamic Systems and Control Division · 2022
    Article
  18. Article
  19. Modeling and Stiffness-based Continuous Torque Control of Lightweight Quasi-Direct-Drive Knee Exoskeletons for Versatile Walking Assistance.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2022
    Article
  20. Review
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

8 authors.

Shuangyue YuLab of Biomechatronics and Intelligent Robotics (BIRO), Department of Mechanical Engineering, The City University of New York, City College, NY, 10023, US.
Tzu-Hao HuangLab of Biomechatronics and Intelligent Robotics (BIRO), Department of Mechanical Engineering, The City University of New York, City College, NY, 10023, US.
Xiaolong YangLab of Biomechatronics and Intelligent Robotics (BIRO), Department of Mechanical Engineering, The City University of New York, City College, NY, 10023, US.
Chunhai JiaoLab of Biomechatronics and Intelligent Robotics (BIRO), Department of Mechanical Engineering, The City University of New York, City College, NY, 10023, US.
Jianfu YangLab of Biomechatronics and Intelligent Robotics (BIRO), Department of Mechanical Engineering, The City University of New York, City College, NY, 10023, US.
Yue ChenDepartment of Mechanical Engineering, University of Arkansas, Fayetteville, AR, 72701, US.
Jingang YiDepartment of Mechanical & Aerospace Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, US.
Hao SuLab of Biomechatronics and Intelligent Robotics (BIRO), Department of Mechanical Engineering, The City University of New York, City College, NY, 10023, US.

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
NIBIB NIH HHS R01 EB029765
6 · The paper itself

Abstract

High-performance actuators are crucial to enable mechanical versatility of wearable robots, which are required to be lightweight, highly backdrivable, and with high bandwidth. State-of-the-art actuators, e.g., series elastic actuators (SEAs), have to compromise bandwidth to improve compliance (i.e., backdrivability). We describe the design and human-robot interaction modeling of a portable hip exoskeleton based on our custom quasi-direct drive (QDD) actuation (i.e., a high torque density motor with low ratio gear). We also present a model-based performance benchmark comparison of representative actuators in terms of torque capability, control bandwidth, backdrivability, and force tracking accuracy. This paper aims to corroborate the underlying philosophy of "design for control", namely meticulous robot design can simplify control algorithms while ensuring high performance. Following this idea, we create a lightweight bilateral hip exoskeleton to reduce joint loadings during normal activities, including walking and squatting. Experiments indicate that the exoskeleton is able to produce high nominal torque (17.5 Nm), high backdrivability (0.4 Nm backdrive torque), high bandwidth (62.4 Hz), and high control accuracy (1.09 Nm root mean square tracking error, 5.4% of the desired peak torque). Its controller is versatile to assist walking at different speeds and squatting. This work demonstrates performance improvement compared with state-of-the-art exoskeletons.

Indexed as

Exoskeletonhigh-torque actuatorHuman augmentationQuasi-direct drive actuationWearable robots

Identifiers

PMID33746504
PMCPMC7971415

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.