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Yoshinori Imada

dblp:67/7735 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2009
—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 · 67% Motion planning and robot control · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › locomotion control
balance control
0.112009
Rough terrain walking for bipedal robot by using ZMP criteria map · ICRA 2009
Robotics › Legged, aerial and field robots
bipedal robot
0.112009
Rough terrain walking for bipedal robot by using ZMP criteria map · ICRA 2009
Robotics › Legged, aerial and field robots › rough terrain locomotion
rough terrain walking
0.112009
Rough terrain walking for bipedal robot by using ZMP criteria map · ICRA 2009

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

walking pattern modification · 0.1force sensor · 0.1
YearPublicationVenuePosition
2009 Rough terrain walking for bipedal robot by using ZMP criteria map
abstract
A new method for bipedal walking on rough terrain by using ZMP criteria map is proposed. The rough terrain walking is classified to “step up” and “step down” by landing timing of a swing leg. The walking pattern is modified in real-time according to the difference between the ideal timing and the measured timing by a force sensor on the foot. In the case of “step up”, the landing timing is faster than the ideal, and the swing leg trajectory should be change to follow the step so that the ZMP based balance of the sudden caused double support phase is kept. In the case of “step down”, the landing timing is later than the ideal, and the swing leg trajectory should be change to seek the ground so that the balance of the unknown future double support phase is kept. The modified walking pattern is decided based on the ZMP criteria map. The ZMP criteria map can indicate a safe landing timing and landing position of a swing leg. By referring the ZMP criteria map, the robust walking pattern can be planned. The proposed method is implemented to HRP-2, and the effectiveness is confirmed through experiments.
Tomohito Takubo, Yoshinori Imada, Kenichi Ohara, Yasushi Mae, Tatsuo Arai
ICRA2