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

Won-Bum Lee

dblp:190/8493 · DBLP profile ↗
← Back
4ranked-venue papers
2as first author
0since 2021 · last 2020
—ORCID · none

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

Artificial intelligence and machine learning · 4 · 2 first-authorSystems, architecture and hardware · 4 · 2 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
Robot manipulation · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › industrial robot
collaborative robot
0.312017
Design of a 6-DOF collaborative robot arm with counterbalance mechanisms · ICRA 2017
Robotics › Robot manipulation › robot design
counterbalance mechanism
0.312017
Design of a 6-DOF collaborative robot arm with counterbalance mechanisms · ICRA 2017
Robotics › Robot manipulation
robot design
0.312017
Design of a 6-DOF collaborative robot arm with counterbalance mechanisms · ICRA 2017

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

dynamic simulation · 0.3
YearPublicationVenuePosition
2020 Design of a Linear Gravity Compensator for a Prismatic Joint
abstract
Most existing mechanical gravity compensators have been developed for revolute joints that are found in majority of articulated robot arms. However, robots such as patient transport robots use prismatic joints, which need to handle a heavy payload. In this study, a high-capacity linear gravity compensator (LGC), which comprises pure mechanical components, such as coil springs, a rack-pinion gear, a cam, and a wire, is proposed to compensate for the payload applied to a prismatic joint. The LGC is designed to generate a constant compensation force regardless of the payload position. The device can be manufactured at a low cost and has a significantly long lifespan because it uses coil springs to serve as an elastic body. Experiments demonstrate that the robot with the LGC can handle a load of 100 kg more than the robot using the same motors without it.
Do-Won Kim, Won-Bum Lee, Jae-Bok Song
IROS2
2019 Wall-Mounted Robot Arm Equipped with 3-DOF Roll-Pitch-Pitch Counterbalance Mechanism
abstract
The use of high-capacity motors and harmonic drives increases the manufacturing cost and the energy consumption of the robot. It is well known that most motor torques are used to support the robot mass and payload. To deal with this problem, we propose a wall-mounted 3-DOF roll-pitch-pitch counterbalance mechanism (CBM). Unlike previous CBMs used for floor-mounted industrial robot arms, the proposed CBM can be applied to wall-mounted robots in which the first three joints are all coupled and affected by gravity. This mechanism is composed of pure mechanical components such as coil springs, differential gear structure, and belt-pulley system. A 6-DOF robot arm equipped with the proposed CBM was fabricated to verify the performance of gravity compensation. It is shown that the proposed 3-DOF CBM can effectively compensate for gravitational torques, thus drastically reducing the motor torques required to operate the robot.
Won-Bum Lee, Byung-Yoon Moon, Tae-Jung Kim, Jae-Bok Song
IROS1
2017 Design of a 6-DOF collaborative robot arm with counterbalance mechanisms
abstract
Most collaborative robots use high-power motors for a good weight-to-payload ratio, thus leading to not only an increase in manufacturing cost but also possibility of injury at a collision between a human and a robot. To maintain high-performance with low-power driving units, a spring-based counterbalance mechanism (CBM) and a robot arm based on these CBMs were developed in our previous study. In this study, a 6-DOF collaborative robot equipped with a multi-DOF CBM is proposed. A double parallelogram linkage and a slider-crank mechanism are employed for a compact and durable design of a multi-DOF CBM. Unlike the previous prototypes in which some portions of CBMs were protruded out of the robot body due to their large volume, the proposed CBMs can be embedded inside the robot links. The performance of the developed CBM and collaborative robot were verified based on simulations using dynamic simulation software. Simulation results show that the proposed CBMs can effectively reduce the joint torques required to operate the robot. This reduction in the torque enables low-power motors to be used in a collaborative robot, thus significantly improving collision safety and energy efficiency.
Won-Bum Lee, Sang-Duck Lee, Jae-Bok Song
ICRA1
2016 Reduction in gravitational torques of an industrial robot equipped with 2 DOF passive counterbalance mechanisms
abstract
In most 6 DOF robot arms, considerable amounts of gravitational torques due to the robot's own weight are applied to pitch joints of the robot, which causes most arms to use high capacity motors and speed reducers. A spring-based counterbalance mechanism can compensate for this gravitational torque, thus leading to a significant reduction in the effect of gravity. However, a simple installation of counterbalance mechanisms at each pitch joint does not work properly because the gravitational torque at each joint is dependent also on the other joints. To achieve multi-DOF counterbalancing, we propose a parallelogram linkage combined with dual counterbalance mechanisms, each being composed of a slider-crank mechanism and springs. Simulations and experimental results showed that the counterbalance robot arm based on the proposed counterbalance mechanisms effectively reduced the torques required to support the robot mass, thus allowing the prospective use of much smaller motors and speed reducers than traditional industrial robots.
Kuk-Hyun Ahn, Won-Bum Lee, Jae-Bok Song
IROS2