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J. D. Chang

dblp:191/1138 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1984
—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 · 50% Robot manipulation · 50%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › robot simulation
manipulator simulation
0.011984
Simulation of a cartesian robot arm · ICRA 1984
Robotics › Motion planning and robot control › robot dynamics › dynamic simulation
robot dynamics simulation
0.011984
Simulation of a cartesian robot arm · ICRA 1984
Robotics › Robot manipulation › industrial robot
cartesian robot arm
0.011984
Simulation of a cartesian robot arm · ICRA 1984
Robotics › Motion planning and robot control › manipulator control
robot arm control
0.011984
Simulation of a cartesian robot arm · ICRA 1984

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

runge-kutta integration · 0.0nonlinear differential equation simulation · 0.0
YearPublicationVenuePosition
1984 Simulation of a cartesian robot arm
abstract
This paper describes a program for the simulation of the control logic and system dynamics of a robot arm having three Cartesian axes of motion plus two rotational axes of the wrist. The program was written in the C language and includes a fourth-order Runge-Kutta algorithm for the integration of the nonlinear differential equations for the individual axes. Validation of the program operation and evaluation of the many system parameters are also discussed. The simulated motion is compared and adjusted to fit experimental data on the actual arm motion. The results indicate that the simulation can be a useful and safe means for off-line testing of system changes and new control schemes.
Winston L. Nelson, J. D. Chang
ICRA2