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Ja-Woo Lee

dblp:151/9570 · 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.

Artificial intelligence
1 paper
Robot manipulation · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › force sensing
contact force sensing
0.212014
RoboRay hand: A highly backdrivable robotic hand with sensorless contact force measurements · ICRA 2014
Robotics › Robot manipulation
grasping
0.212014
RoboRay hand: A highly backdrivable robotic hand with sensorless contact force measurements · ICRA 2014
Robotics › Robot manipulation
robotic hand
0.212014
RoboRay hand: A highly backdrivable robotic hand with sensorless contact force measurements · ICRA 2014
Robotics › Robot manipulation › robot actuation
tendon-driven mechanism
0.212014
RoboRay hand: A highly backdrivable robotic hand with sensorless contact force measurements · ICRA 2014
Robotics › Robot manipulation › actuator design › compliant actuator
backdrivability
0.112014
RoboRay hand: A highly backdrivable robotic hand with sensorless contact force measurements · ICRA 2014

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

tension decoupling · 0.2friction compensation · 0.2
YearPublicationVenuePosition
2014 RoboRay hand: A highly backdrivable robotic hand with sensorless contact force measurements
abstract
This paper presents a 14-DOF robotic hand including 5 fingers and a wrist. The hand has a new tendon-driven mechanism which minimizes frictional loss and maximizes efficiency and backdrivability. In order to accomplish high efficiency and backdrivability as well as human-like payload and dexterity in a compact size, two novel mechanical concepts are proposed. Firstly, the actuators are placed according to the functions of fingers - high power grasping and precise manipulation - instead of positioning at each joint. For the high power grasping, 7 high payload motors are positioned in the forearm, and 5 small size motors are positioned in the palm for the precise manipulation. Secondly, a new tension decoupling mechanism is proposed to the 2-DOF wrist joint, which delivers wire motions of the forearm motors to the fingers without frictional loss or coupling with wrist motion. A total weight including the forearm is 1.59kg which is similar to human. The fingertip force is 15N which is sufficient for most of household work. High backdrivability enables the contact force sensing by measuring a motor current without additional sensors. A detectable minimum contact force was 0.735N. In order to enhance the contact force sensing capability, a friction compensation algorithm was applied, which resulted to the minimum contact force as 0.196N. Theoretical and experimental analyses are also performed.
Yong-Jae Kim, Younbaek Lee, Ja-Woo Lee, Kang-Min Park, Kyungsik Roh, Jung-Yun Choi
ICRA4