Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Aliasgar Morbi

dblp:96/9963 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2011
—ORCID · unresolved

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

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
Human-robot interaction · 56% Accessibility and assistive technology · 44%

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

TopicWeightPapersLastEvidence papers
Human-robot interaction › shared control
assist-as-needed control
0.112011
Comparing continuous and intermittent assistance controllers for assistive devices · ICRA 2011
Accessibility and assistive technology
assistive technology
0.112011
Comparing continuous and intermittent assistance controllers for assistive devices · ICRA 2011
Human-robot interaction
physical human-robot interaction
0.012011
Comparing continuous and intermittent assistance controllers for assistive devices · ICRA 2011

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

torque control · 0.1
YearPublicationVenuePosition
2011 Comparing continuous and intermittent assistance controllers for assistive devices
abstract
This paper introduces a novel assistive device (AD) control strategy that provides intermittent assistance and is capable of encouraging user effort during AD use. The assistance regulation controller (ARC) presented here is designed to regulate joint torque and can be used for arbitrary joint and limb motions without requiring any a priori information about the user's intended motion. Data from eight healthy subjects who performed a forearm tracking experiment using a single degree-of-freedom powered orthosis demonstrate that the ARC is capable of encouraging user effort. On average, subjects generated 40% more joint torque when performing the tracking experiment with the ARC instead of a conventional torque-amplifying controller. The results also demonstrate that the ARC is safe to use for dynamic orthosis-assisted joint motions which require several transitions into and out of the assistance and no assistance states of the controller. As such, the results also confirm that the ARC is an effective assist-as-needed control strategy suitable for use with ADs.
Aliasgar Morbi, Mojtaba Ahmadi, Adrian D. C. Chan, Robert G. Langlois
ICRA1