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

Byeong-Kyu Lee

dblp:117/2105 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · none

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.

Artificial intelligence
1 paper
Motion planning and robot control · 50% Robot manipulation · 50%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › wearable robotics
exoskeleton
0.112012
Development of dynamic model-based controller for upper limb exoskeleton robot · ICRA 2012
Robotics › Motion planning and robot control › robot control
force control
0.112012
Development of dynamic model-based controller for upper limb exoskeleton robot · ICRA 2012
Robotics › Motion planning and robot control
robot control
0.112012
Development of dynamic model-based controller for upper limb exoskeleton robot · ICRA 2012
Robotics › Robot manipulation › wearable robotics › exoskeleton
upper-limb exoskeleton
0.112012
Development of dynamic model-based controller for upper limb exoskeleton robot · ICRA 2012

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

multi-axis force sensor · 0.1damped least squares · 0.1
YearPublicationVenuePosition
2012 Development of dynamic model-based controller for upper limb exoskeleton robot
abstract
In this paper, we propose and experimentally test a dynamic model-based force controller for the motion of upper limb exoskeleton robot. The system is composed of 3 degrees of freedom using an electrical actuator. This system is mainly controlled by the multi-axis force sensor signals. These are used to generate desired torques for driving the robot system. However, singularities exist when force signals in the Cartesian coordinate system are transformed to torques in the joint coordinate system. So we applied the damped least squares method. In handling loads, torque compensation regarding the weight of the object is required. Therefore, we installed the multi-axis force sensor at the robot end effector. It measures the interaction forces between the exoskeleton and the load. To compensate for the handling object, we used the static model. We performed control stability and load handling experiments to verify the effectiveness of the controller. With these experiments, we confirmed the effectiveness of the proposed controller.
Byeong-Kyu Lee, Hee-Don Lee, Ji Yeong Lee, Kyoosik Shin, Chang-Soo Han
ICRA1