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Yeongil I. Park

dblp:57/4033 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2000
—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%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Energy-efficient computing · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
continuously variable transmission
0.012000
On the Energy Efficiency of CVT-Based Mobile Robots · ICRA 2000
Robotics › Robot manipulation
robot design
0.012000
On the Energy Efficiency of CVT-Based Mobile Robots · ICRA 2000
Energy-efficient computing
power management
0.012000
On the Energy Efficiency of CVT-Based Mobile Robots · ICRA 2000

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

optimal control · 0.1numerical simulation · 0.1
YearPublicationVenuePosition
2000 On the Energy Efficiency of CVT-Based Mobile Robots
abstract
We perform an in-depth analysis on the energy efficiency of a mobile robot employing a spherical type continuously variable transmission (S-CVT). The S-CVT permits the motor to operate in its most power-efficient regime of high-speed and low-torque, and allows for smooth operation of the mobile robot in all phases of forward, neutral, and reverse motion without the use of any brakes or clutches. Changes in steering direction are achieved by a novel pivoting device that enables the robot to rotate about its center. The current study takes into account features of the DC motors, the S-CVT, and the mobile robot dynamics to perform a comprehensive study on the overall system performance. We develop optimal control laws for both the reduction gear unit and S-CVT equipped mobile robots, and compare their energy efficiency through numerical studies. We then present numerical results that demonstrate the power savings possible front the use of the S-CVT mechanism over standard reduction gear units.
Jungyun Kim, Hanjun Yeom, Frank C. Park 0001, Yeongil I. Park
ICRA4