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Kun-Young Young

dblp:126/4909 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1996
—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 · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control › force control
impact control
0.011996
Robot impact control inspired by human reflex · ICRA 1996
Robotics › Motion planning and robot control › robot control › behavior-based control
reflex control
0.011996
Robot impact control inspired by human reflex · ICRA 1996
Robotics › Motion planning and robot control
robot control
0.011996
Robot impact control inspired by human reflex · ICRA 1996

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

simulation · 0.0reflex mechanism · 0.0
YearPublicationVenuePosition
1996 Robot impact control inspired by human reflex
abstract
In this paper, we propose a control scheme to deal with unexpected impacts. Impact is inevitable when robot manipulators interact with the environment. Undesirable impacts may induce large interaction forces harmful to robot manipulators and the environment. Impacts may also excite oscillations and even result in manipulator instability. When unexpected impacts occur, a very limited amount of time is available for control. Thus, a reflex mechanism, that emulates the functioning of human reflexes, is included in the proposed scheme. Human reflex is a kind of human action that requires no conscious effort; consequently, it responds to external stimuli without much delay. Simulations are performed to verify the effectiveness of the proposed scheme under a wide range of environmental variations and impact velocities.
Shyj-Woei Weng, Kun-Young Young
ICRA2