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Chang-Su Kim 0003

dblp:02/4380-3 · also Changsu Kim 0003 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2007
0000-0002-2020-3142ORCID · corroborated

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

Artificial intelligence and machine learning · 2Human-computer interaction and ubiquitous computing · 2

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
2 papers
Human-robot interaction · 93% Ubiquitous computing and smart environments · 7%

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

TopicWeightPapersLastEvidence papers
Human-robot interaction › robot navigation
path planning
0.112007
User-centered approach to path planning of cleaning robots: analyzing user's cleaning behavior · HRI 2007
Human-robot interaction › robot design
robot behavior design
0.112007
Autonomous behavior design for robotic appliance · HRI 2007
Human-robot interaction
robot navigation
0.112007
User-centered approach to path planning of cleaning robots: analyzing user's cleaning behavior · HRI 2007
Human-robot interaction
social robot
0.112007
Autonomous behavior design for robotic appliance · HRI 2007
Ubiquitous computing and smart environments
home environments
0.012007
User-centered approach to path planning of cleaning robots: analyzing user's cleaning behavior · HRI 2007

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

usage test · 0.1behavior diagram · 0.1behavior analysis · 0.1
YearPublicationVenuePosition
2007 User-centered approach to path planning of cleaning robots: analyzing user's cleaning behavior
abstract
Current research on robot navigation is focused on clear recognition of the map and optimal path planning. The human cleaning path is, however, not optimal regarding time but optimal to the cleaning purpose. We have analyzed in this paper the cleaning behaviors in home environments and understood the user's path planning behaviors through usage tests of various vacuuming robots. We discovered that the actual user cleans with methods unique to specific areas of the house rather than following an optimal cleaning path. We not only suggest a path planning method for the vacuuming robot by using a layered map, but also a cleaning area designating method reflecting each area's characteristics. Based on these, we have designed a vacuuming robot's actions.
Hyunjeong Lee, Stanley Chung, Chang-Su Kim 0003
HRI4
2007 Autonomous behavior design for robotic appliance
abstract
We consider robotic appliances, mobile and intelligent robots that perform household tasks, and study design method for autonomous behaviors of robotic appliances, a key component in human-robot and robot-environment interactions. Specifically, we develop robot behavior diagram, a visualized, robot-centric, chart-based behavior design method that is useful in describing robotic behaviors and transitions among them. This tool enables systematic construction of exhaustive set of autonomous behaviors, within the context of given set of robotic functionalities. First, the set of functionalities for a given robot is defined. Then, employing the defined functionalities, a diagram is constructed with behavioral states and events that can trigger transitions to other behaviors. For any given behavioral state, all plausible events are considered, and this is repeated until the diagram is complete with all the possible behaviors and events. We demonstrate that, via this method, a complete and robust behavioral scenario design is indeed attainable, by applying robot behavior diagram approach to an example household cleaning robot platform.
Hyunjeong Lee, Chang-Su Kim 0003
HRI3