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Ali KhalilianMotamed Bonab

dblp:303/4862 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2026
0000-0002-2991-8670ORCID · reported

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.

Human-computer interaction and pervasive computing
1 paper
Accessibility and assistive technology · 67% Human-robot interaction · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Accessibility and assistive technology
assistive technology
1.012026
Hybrid Soft-Rigid Elbow Exosuit: Theory, Mechatronic Design, and Experimental Assessment · IEEE Trans. Robotics 2026
Human-robot interaction › wearable robot
soft exosuit
1.012026
Hybrid Soft-Rigid Elbow Exosuit: Theory, Mechatronic Design, and Experimental Assessment · IEEE Trans. Robotics 2026
Accessibility and assistive technology › assistive technology
upper-limb motion assist
1.012026
Hybrid Soft-Rigid Elbow Exosuit: Theory, Mechatronic Design, and Experimental Assessment · IEEE Trans. Robotics 2026

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

interaction controller · 1.0biomechanical modeling · 1.0
YearPublicationVenuePosition
2026 Hybrid Soft-Rigid Elbow Exosuit: Theory, Mechatronic Design, and Experimental Assessment
abstract
Hybrid wearable robotics, combining soft and rigid elements, offer a promising solution for upper limb assistance by balancing comfort and functionality. This study evaluates a hybrid soft-rigid elbow exosuit designed for elbow movement support in dynamic and endurance tasks, focusing on biomechanical impact, user perception, and ergonomics. A theoretical model guided the design, optimizing device dynamics and assistive force delivery. A generic interaction controller, combined with fixed system parameters, provided effective assistance across participants without the need for subject-specific tuning, simplifying deployment in practical settings. During dynamic tasks, the exosuit significantly reduced biceps muscle activity compared to the unassisted condition, with an average reduction of 28.40%. In endurance tasks, it reduced infraspinatus activity by an average of 44.55% and mitigated increased muscle activation during load-carrying. Subjective assessments indicated lower perceived physical demand, while the System Usability Scale confirmed high usability and acceptance. These findings highlight the exosuit's ability to reduce physical effort and improve muscle coordination while maintaining comfort. The robust mechatronic design enabled effective assistance through a generic controller, emphasizing the importance of hardware reliability.
Ali KhalilianMotamed Bonab, Cristian Camardella, Antonio Frisoli, Domenico Chiaradia
IEEE Trans. Robotics1