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Gene Shin

dblp:52/3523 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2004
—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 · 33% Wearable and physiological sensing · 33% Interaction techniques and input · 33%
Artificial intelligence
1 paper
Robot manipulation · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input › input device › 3d input device
data glove
0.012004
The magic glove · ICRA 2004
Human-robot interaction
physical human-robot interaction
0.012004
The magic glove · ICRA 2004
Wearable and physiological sensing
wearable sensing
0.012004
The magic glove · ICRA 2004
Robotics › Robot manipulation › industrial manipulation
material handling
0.012004
The magic glove · ICRA 2004

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

force sensing · 0.1RF communication · 0.1
YearPublicationVenuePosition
2004 The magic glove
abstract
This article introduces an instrumented glove and its application for robotic and human-assisted material handling manipulators. In its simplest form, worn by an operator, the sensory glove measures the force the wearer imposes on any part of the material handling robot or the object being maneuvered by the material handling robot This measured force is then transmitted as radio frequency (RF) signals to the controller of the material handling robot, which in turn maneuvers the load so that the human operator only needs to exert a small portion of the force, leaving the actuator of the system to provide the remaining force required. Therefore, the actuators of the material handling system add exertion only in response to the operator's hand force on the material handling system, or on the object maneuvered by the robot. Our experimental glove has proven entirely effective in manipulating objects naturally similar to the way we manipulate objects manually without activating many switches and pushbuttons to command the device.
Homayoon Kazerooni, Dylan Fairbanks, Gene Shin
ICRA4