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Jobim Santos

dblp:151/9669 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

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 · 77% Accessibility and assistive technology · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › wearable robot
soft wearable robot
0.212014
A soft wearable robotic device for active knee motions using flat pneumatic artificial muscles · ICRA 2014
Accessibility and assistive technology › assistive technology
assistive device
0.112014
A soft wearable robotic device for active knee motions using flat pneumatic artificial muscles · ICRA 2014

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

elastomer muscle characterization · 0.2
YearPublicationVenuePosition
2014 A soft wearable robotic device for active knee motions using flat pneumatic artificial muscles
abstract
We present the design of a soft wearable robotic device composed of elastomeric artificial muscle actuators and soft fabric sleeves, for active assistance of knee motions. A key feature of the device is the two-dimensional design of the elastomer muscles that not only allows the compactness of the device, but also significantly simplifies the manufacturing process. In addition, the fabric sleeves make the device lightweight and easily wearable. The elastomer muscles were characterized and demonstrated an initial contraction force of 38N and maximum contraction of 18mm with 104kPa input pressure, approximately. Four elastomer muscles were employed for assisted knee extension and flexion. The robotic device was tested on a 3D printed leg model with an articulated knee joint. Experiments were conducted to examine the relation between systematic change in air pressure and knee extension-flexion. The results showed maximum extension and flexion angles of 95° and 37°, respectively. However, these angles are highly dependent on underlying leg mechanics and positions. The device was also able to generate maximum extension and flexion forces of 3.5N and 7N, respectively.
Yong-Lae Park, Jobim Santos, Kevin C. Galloway, Eugene Goldfield, Robert J. Wood
ICRA2