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Youngkwang Kum

dblp:46/2442 · 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.

Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%
Artificial intelligence
1 paper
Robot navigation and mapping · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
assistive robotics
0.012002
Safe and Reliable Intelligent Wheelchair Robot with Human Robot Interaction · ICRA 2002
Human-robot interaction › assistive robotics
smart wheelchair
0.012002
Safe and Reliable Intelligent Wheelchair Robot with Human Robot Interaction · ICRA 2002

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

ultrasonic sensing · 0.1gesture recognition · 0.1
YearPublicationVenuePosition
2002 Safe and Reliable Intelligent Wheelchair Robot with Human Robot Interaction
abstract
This paper proposes a prototype of a safe and reliable wheelchair robot with a human-robot interaction. Since the wheelchair is made for mobility aids for the handicapped, the wheelchair robot must guarantee the safety and reliability while considering the user's intention. A single color CCD camera is mounted to input user's command given by human-friendly gestures, and an array of ultrasonic sensors is used for sensing external environment configurations. We use face and hand directional gestures as the input gestures. By combining the sensory environment information with the user's command given by gestures, the planner of the wheelchair robot selects an optimal motion. We present an implemented prototype of the wheelchair robot, MR. HURI, and show experimentally that it is useful for the disabled and the elderly people.
Inhyuk Moon, Sanghyun Joung, Youngkwang Kum
ICRA3