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Satoshi Obata

dblp:23/4375 · 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
Motion planning and robot control · 50% Legged, aerial and field robots · 38% Optimization for machine learning · 12%

Topics — the 4 heaviest of 4, 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
Robust Biped Walking with Active Interaction Control between Foot and Ground · ICRA 1998
Robotics › Motion planning and robot control › robot control
force control
0.011998
Robust Biped Walking with Active Interaction Control between Foot and Ground · ICRA 1998
Robotics › Motion planning and robot control › robot control › stabilization control
posture control
0.011998
Robust Biped Walking with Active Interaction Control between Foot and Ground · ICRA 1998
Machine learning › Optimization for machine learning › convex optimization
quadratic programming
0.011998
Robust Biped Walking with Active Interaction Control between Foot and Ground · ICRA 1998

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

quadratic programming · 0.0cartesian space motion controller · 0.0
YearPublicationVenuePosition
1998 Robust Biped Walking with Active Interaction Control between Foot and Ground
abstract
Describes a biped walking control system based on the reactive force interaction control at the foothold: 1) robust control of reactive force/torque interaction at the foothold based on Cartesian space motion controller: 2) posture control considering the physical constraints of the reactive force/torque at the foothold by quadratic programming. The proposed approach realizes robust biped locomotion because the environmental interaction is directly controlled. The control is applied to the 20 axes simulation model, and the stable biped locomotion is realized even if an unknown small slope exists. Stable attitude control is confirmed by 14-axis biped robot experiments.
Yasutaka Fujimoto, Satoshi Obata, Atsuo Kawamura
ICRA2