Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
EDBT 2026 Demo / reviewers in the wild / expert

Pyung Chang

dblp:186/3218 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 1986
—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
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
inverse kinematics		 0.011986
A closed-form solution for the control of manipulators with kinematic redundancy · ICRA 1986
Robotics › Motion planning and robot control › robot kinematics
kinematic redundancy		 0.011986
A closed-form solution for the control of manipulators with kinematic redundancy · ICRA 1986
Robotics › Motion planning and robot control
manipulator control		 0.011986
A closed-form solution for the control of manipulators with kinematic redundancy · ICRA 1986

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

lagrangian multipliers · 0.0extended jacobian · 0.0
YearPublicationVenuePosition
1986 A closed-form solution for the control of manipulators with kinematic redundancy
abstract
A closed-form equation for inverse kinematics of manipulators with redundancy is derived, using the Lagrangian multiplier method. The proposed equation is proved to provide the exact equilibrium state for the resolved motion method, and is shown to be a general expression that yields the extended Jacobian method. The repeatability problem in the resolved motion method does not exist in the proposed equation. The equation is demonstrated to give more accurate trajectories than the resolved motion method.
Pyung Chang
 ICRA1