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Bing Chen 0005

dblp:55/6253-5 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
0000-0001-5875-4997ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Computational fabrication · 100%
Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%
Artificial intelligence
1 paper
Motion planning and robot control · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational fabrication › origami design
origami mechanism
0.912025
Development of Bioinspired Five-DOF Origami for Robotic Spine Assistive Exoskeleton · IEEE Trans. Robotics 2025
Computational fabrication › soft robotics
soft robot design
0.912025
Development of Bioinspired Five-DOF Origami for Robotic Spine Assistive Exoskeleton · IEEE Trans. Robotics 2025
Human-robot interaction › assistive robotics
exoskeleton design
0.912025
Development of Bioinspired Five-DOF Origami for Robotic Spine Assistive Exoskeleton · IEEE Trans. Robotics 2025
Robotics › Motion planning and robot control › robot control
adaptive control
0.312025
Development of Bioinspired Five-DOF Origami for Robotic Spine Assistive Exoskeleton · IEEE Trans. Robotics 2025
Robotics › Motion planning and robot control
robot control
0.312025
Development of Bioinspired Five-DOF Origami for Robotic Spine Assistive Exoskeleton · IEEE Trans. Robotics 2025

Methods — techniques the papers use, named apart from their topics

cable-driven actuation · 2.6under-actuated mechanism · 1.7underactuated mechanism · 0.9
YearPublicationVenuePosition
2025 Development of Bioinspired Five-DOF Origami for Robotic Spine Assistive Exoskeleton
abstract
Frequent and high-load manual material handling (MMH) tasks often cause back injuries to the workers, and backsupport exoskeletons are developed for individuals with MMH tasks. However, these exoskeletons usually cannot adapt well to the movements of the wearer's spine. This paper introduces a new bio-inspired 5-DOF origami, and via mechanical design, a unique rigid-flexible coupled bio-inspired origami mechanism is proposed. This origami mechanism is compact and lightweight, and it has stable kinematic behaviors. With the designed origami mechanisms, a novel active origami-based robotic spine assistive exoskeleton (OSAE) is developed to assist individuals with MMH tasks during the symmetric and asymmetric lifting. The OSAE is actuated by a cable-driven module through an under-actuated spine module that consists of seven origami mechanisms. With the designed spine module, the OSAE can adapt well to the wearer's spine motions during MMH tasks. Modeling of the 5- DOF origami is described, and an adaptive control strategy is proposed for the exoskeleton to adapt to different lifting methods and objects with different weights. The experimental results demonstrate the effectiveness of the proposed OSAE. During the symmetric lifting of a 10-kg object, a reduction of 41.28% of the average muscle activity of the wearer's lumbar erector spinae muscle (LES) is observed, and reductions of 30.15% and 39.54% of the average muscle activities of the wearer's left and right LES are observed, respectively, during the asymmetric lifting of a 10- kg object.
Bing Chen 0005, Xiang Ni, Lei Zhou 0029, Bin Zi, Eric Li 0001, Dan Zhang 0006
IEEE Trans. Robotics1