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Yun-Meng Lin

dblp:196/8441 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Applied, interdisciplinary, general and emerging computing · 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
Legged, aerial and field robots · 83% Planning, search and constraint satisfaction · 8% Motion planning and robot control · 8%

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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › gait generation
gait transition
0.312017
TurboQuad: A Novel Leg-Wheel Transformable Robot With Smooth and Fast Behavioral Transitions · IEEE Trans. Robotics 2017
Robotics › Legged, aerial and field robots › legged robots
legged robot locomotion
0.312017
TurboQuad: A Novel Leg-Wheel Transformable Robot With Smooth and Fast Behavioral Transitions · IEEE Trans. Robotics 2017
Robotics › Legged, aerial and field robots › wheel-legged robot
leg-wheel transformable robot
0.312017
TurboQuad: A Novel Leg-Wheel Transformable Robot With Smooth and Fast Behavioral Transitions · IEEE Trans. Robotics 2017
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › intelligent control
bio-inspired control
0.112017
TurboQuad: A Novel Leg-Wheel Transformable Robot With Smooth and Fast Behavioral Transitions · IEEE Trans. Robotics 2017
Robotics › Motion planning and robot control › locomotion control
central pattern generator
0.112017
TurboQuad: A Novel Leg-Wheel Transformable Robot With Smooth and Fast Behavioral Transitions · IEEE Trans. Robotics 2017

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

coupled oscillator networks · 0.3central pattern generator · 0.3
YearPublicationVenuePosition
2018 SLIP-Model-Based Dynamic Motion Transition Between Different Fixed Points in One Stride in a Leg-Wheel Transformable Robot
abstract
We report on the development of a motion generation strategy that allows the robot to transit from one stable running motion to another in one stride by actively changing leg stiffness in real time. Stable motion of the robot is generated based on the stable fixed-point trajectories of the spring-loaded inverted pendulum (SLIP) model. While the transition of the ordinary SLIP model with fixed parameters gradually converges if stable, a robot that uses force control to simulate the passive spring of the SLIP can actively modulate leg-spring stiffness. This enables the robot to switch instantly to another fixed-point trajectory of the SLIP model without going through multi-stride transition. The proposed method is implemented on a leg-wheel transformable robot, TurboQuad, and is evaluated experimentally. The results confirm that the robot can successfully transit between different fixed-point trajectories.
Hung-Sheng Lin, Yun-Meng Lin, Pei-Chun Lin
IROS2
2017 TurboQuad: A Novel Leg-Wheel Transformable Robot With Smooth and Fast Behavioral Transitions
abstract
This report is on the design, control strategy, implementation, and performance evaluation of a novel leg-wheel transformable robot called TurboQuad, which can perform fast gait/mode coordination and transitions in wheeled mode, in legged trotting, and in legged walking while in motion. This functionality was achieved by including two novel setups in the robot that were not included in its predecessor, Quattroped. First, a new leg-wheel mechanism was used, in which the leg/wheel operation and its in situ transition can be driven by the same set of motors, so the actuation system and power can be utilized efficiently. Second, a bio-inspired control strategy was applied based on the central pattern generator and coupled oscillator networks, in which the gait/mode generation, coordination, and transitions can be integrally controlled. The robot was empirically built and its performances in the described three gaits/modes as well as the transitions among them were experimentally evaluated and will be discussed in this paper.
Wei-Hsi Chen, Hung-Sheng Lin, Yun-Meng Lin, Pei-Chun Lin
IEEE Trans. Robotics3