Evidence map›Paper›PMID 42592158›Full record

ArticleIEEE/ASME transactions on mechatronics : a joint publication of the IEEE Industrial Electronics Society and the ASME Dynamic Systems and Control Division2026

PositiveAssist: Energy-Gated Control for Positive Power Assistance of Exoskeleton in Walking, Running, and Stair Climbing.

Juncheng Zhou, Weibo Gao, Jin Sen Huang, Kurt Lin, Wanqi Wu, Hao Su

Abstract read
PubMed Full text at PMC Publisher
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, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Juncheng ZhouLab of Biomechatronics and Intelligent Robotics, Department of Biomedical Engineering, New York University, New York, NY 11201 USA.ORCID 0009-0007-8130-8822
Weibo GaoLab of Biomechatronics and Intelligent Robotics, Department of Biomedical Engineering, New York University, New York, NY 11201 USA.ORCID 0009-0006-5138-7040
Jin Sen HuangLab of Biomechatronics and Intelligent Robotics, Department of Biomedical Engineering, New York University, New York, NY 11201 USA.ORCID 0009-0004-7501-5298
Kurt LinLab of Biomechatronics and Intelligent Robotics, Department of Biomedical Engineering, New York University, New York, NY 11201 USA.
Wanqi WuLab of Biomechatronics and Intelligent Robotics, Department of Biomedical Engineering, New York University, New York, NY 11201 USA.
Hao SuLab of Biomechatronics and Intelligent Robotics, Department of Biomedical Engineering, New York University, New York, NY 11201 USA, and also with the Courant Institute School of Mathematics, Computing, and Data Science, New York University, New York, NY 10012 USA.ORCID 0000-0003-3299-7418

Funding

SCH: Spine-Hip Exoskeletons with Learning-Based Optimal Control for Low Back Pain AlleviationR01EB035404 · NIBIB · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Xiaoning Jiang · 2023 to 2026
$1.1M
NIBIB NIH HHS R01 EB035404
6 · The paper itself

Abstract

Assistance timing is a critical factor in exoskeleton control. This article introduces the energy-gated controller, which uses only two thigh-mounted inertial measurement units to estimate hip kinematics and predicted mechanical power so that assistive torque is delivered primarily during positive work phases. Our proposed method combines a power-based gating mechanism with a biomechanics-informed torque synthesis strategy that reconstructs extension assistance from a delayed flexion profile, without gait-phase detection or task-specific mode switching. Experimental results from six participants

Indexed as

Energy-gated controlwearable robotics

Identifiers

PMID42592158
PMCPMC13464493

What OpenQuestion holds

Textmetadata
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.