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Chang B. Joo

dblp:135/8115 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

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 · 77% Motion planning and robot control · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
constrained nonlinear optimization
0.012013
Balancing of legged mechanism with multiple segments · ICRA 2013

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

velocity extrema analysis · 0.2numerical optimization · 0.2
YearPublicationVenuePosition
2013 Balancing of legged mechanism with multiple segments
abstract
The purpose of this paper is to investigate what kinds of effects the multi-segmental body with actively controlled body part have on balancing. As part of the research, a biped mechanism is simplified to multi-segmental legged model in sagittal plane where the model is comprised of a stance leg, foot and actively controlled body part. Not only the system parameters are in place but also necessary and sufficient conditions for balancing have been implemented as constraints. The algorithm that we proposed iteratively solves nonlinear constrained optimization problems. The balanced state domain is constructed by connecting velocity extrema. The proposed algorithm is used to identify the balanced state domain in a deterministic scheme using numerical optimization.
Chang B. Joo, Joo H. Kim
ICRA1