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Kyong D. Kim

dblp:06/1818 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1998
—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
Legged, aerial and field robots · 50% Motion planning and robot control · 50%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
bipedal locomotion
0.011998
Biped Robot Walking Using Gravity-Compensated Inverted Pendulum Mode and Computed Torque Control · ICRA 1998
Robotics › Motion planning and robot control › locomotion control › legged robot control
bipedal robot control
0.011998
Biped Robot Walking Using Gravity-Compensated Inverted Pendulum Mode and Computed Torque Control · ICRA 1998
Robotics › Motion planning and robot control › robot control › model-based control
computed torque control
0.011998
Biped Robot Walking Using Gravity-Compensated Inverted Pendulum Mode and Computed Torque Control · ICRA 1998
Robotics › Legged, aerial and field robots
legged robots
0.011998
Biped Robot Walking Using Gravity-Compensated Inverted Pendulum Mode and Computed Torque Control · ICRA 1998
Robotics › Motion planning and robot control
robot control
0.011998
Biped Robot Walking Using Gravity-Compensated Inverted Pendulum Mode and Computed Torque Control · ICRA 1998
Robotics › Legged, aerial and field robots › gait generation
walking pattern generation
0.011998
Biped Robot Walking Using Gravity-Compensated Inverted Pendulum Mode and Computed Torque Control · ICRA 1998

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

inverted pendulum mode · 0.0computed torque control · 0.0
YearPublicationVenuePosition
1998 Biped Robot Walking Using Gravity-Compensated Inverted Pendulum Mode and Computed Torque Control
abstract
This paper proposes a model called the gravity-compensated inverted pendulum mode (GCIPM) to generate a biped locomotion pattern that is similar to the one generated by the linear inverted pendulum mode, but accommodates the free leg dynamics based upon its predetermined trajectory. When the biped locomotion based upon the linear inverted pendulum mode is applied to real biped robots, the stability of the robot is disturbed due to the fact that the neglected dynamics of free legs is not actually negligible, moving the ZMP (zero moment point) away from the presumed fixed point. The GCIPM includes the effect of the dynamics of the free leg in a simple manner This paper also presents a control method for biped robots based upon the computed torque. Simulation results show that the biped robot is more stable with the walking pattern generated by the proposed method combined with the controller than with the one by the inverted pendulum mode.
Jong H. Park, Kyong D. Kim
ICRA2