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Wey Fun

dblp:61/1654 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2002
—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
Motion planning and robot control · 67% Robot manipulation · 33%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › mechanical design › compliant mechanism design
compliant joint mechanism
0.012002
Fuzzy Position/Force Control of a Robot Leg with a Flexible Gear System · ICRA 2002
Robotics › Motion planning and robot control › robot control › compliant motion control
hybrid position/force control
0.012002
Fuzzy Position/Force Control of a Robot Leg with a Flexible Gear System · ICRA 2002
Robotics › Motion planning and robot control › locomotion control
legged robot control
0.012002
Fuzzy Position/Force Control of a Robot Leg with a Flexible Gear System · ICRA 2002

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

fuzzy control · 0.0
YearPublicationVenuePosition
2002 Fuzzy Position/Force Control of a Robot Leg with a Flexible Gear System
abstract
As position control alone is not sufficient for machine walking, force control is often suggested. The foot force control allows better force distribution among the legs and therefore reduces the chance of overloading the leg actuators. In this paper, a flexible gear system is designed between the motor and load, by which the force on the gear can be measured and the fuzzy position/force control can then be implemented. The flexible gear system also acts as a buffer to greatly reduce the contact impact magnitude and frequency, therefore the leg can interact with environment with a high speed. Equipped with the flexible gear system in a knee joint, a robot leg has been constructed and an intelligent walking strategy is applied for the leg to walk smoothly on an unknown terrain.
Aiqiang Yang, Huat Kin Low, Wey Fun
ICRA3