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Kana Kotaka

dblp:135/8595 · DBLP profile ↗
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1ranked-venue papers
0as 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 · 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 · 54% Legged, aerial and field robots · 46%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control › compliant motion control
active compliance control
0.212013
Actively-compliant locomotion control on rough terrain: Cyclic jumping and trotting experiments on a stiff-by-nature quadruped · ICRA 2013
Robotics › Legged, aerial and field robots
legged robots
0.212013
Actively-compliant locomotion control on rough terrain: Cyclic jumping and trotting experiments on a stiff-by-nature quadruped · ICRA 2013
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
quadruped locomotion
0.212013
Actively-compliant locomotion control on rough terrain: Cyclic jumping and trotting experiments on a stiff-by-nature quadruped · ICRA 2013
Robotics › Motion planning and robot control
robot control
0.212013
Actively-compliant locomotion control on rough terrain: Cyclic jumping and trotting experiments on a stiff-by-nature quadruped · ICRA 2013
Robotics › Motion planning and robot control › whole-body control
angular momentum control
0.012013
Actively-compliant locomotion control on rough terrain: Cyclic jumping and trotting experiments on a stiff-by-nature quadruped · ICRA 2013

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

jacobian transpose · 0.2force feedback · 0.2admittance control · 0.2
YearPublicationVenuePosition
2013 Actively-compliant locomotion control on rough terrain: Cyclic jumping and trotting experiments on a stiff-by-nature quadruped
abstract
This paper is authored to describe a control framework that is designated for realizing cyclic, actively-compliant and dynamically-balanced jumping and trotting quadruped locomotion over rough terrain. In order to succeed in exhibiting such locomotion abilities, two controllers are synthesized: i) Active Compliance Control via force feedback, ii) Angular Momentum Control via gyro sensing. The first controller computes the joint displacements that are associated with ground reaction force errors, using Jacobian transpose and admittance blocks. Together with position constraints, these joint displacements are simultaneously fed-back to local servo controllers; allowing the robot to perform the given locomotion task in an actively-compliant manner. The second controller, in the meantime, evaluates gyro sensor information to calculate the required compensation torque about center of mass, which is necessary to regulate upper torso rotational motion. Afterwards, it updates the orientation input in accordance with this compensation torque. Using the proposed framework, the overall control performance is tested via cyclic jumping and trotting motion experiments, conducted over rough terrain with a stiff-by-nature quadruped robot. Results turn out to be positive; the robot demonstrates successful jumping and trotting cycles in a repetitive, actively-compliant and dynamically-balanced fashion.
Barkan Ugurlu, Kana Kotaka, Tatsuo Narikiyo
ICRA2