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Ryo Iizuka

dblp:255/3128 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

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 · 68% Legged, aerial and field robots · 32%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › whole-body control
whole-body motion generation
0.612022
Emergent Humanoid Robot Motion Synergies Derived From the Momentum Equilibrium Principle and the Distribution of Momentum · IEEE Trans. Robotics 2022
Robotics › Legged, aerial and field robots
dynamic walking
0.212022
Emergent Humanoid Robot Motion Synergies Derived From the Momentum Equilibrium Principle and the Distribution of Momentum · IEEE Trans. Robotics 2022
Robotics › Legged, aerial and field robots
humanoid robot
0.212022
Emergent Humanoid Robot Motion Synergies Derived From the Momentum Equilibrium Principle and the Distribution of Momentum · IEEE Trans. Robotics 2022
Robotics › Motion planning and robot control
redundancy resolution
0.212022
Emergent Humanoid Robot Motion Synergies Derived From the Momentum Equilibrium Principle and the Distribution of Momentum · IEEE Trans. Robotics 2022

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

reactive motion control · 0.6multitask controller · 0.6momentum distribution · 0.6
YearPublicationVenuePosition
2022 Emergent Humanoid Robot Motion Synergies Derived From the Momentum Equilibrium Principle and the Distribution of Momentum
abstract
The momentum equilibrium principle reveals the relative character of the spatial momentum equation in floating-base robotics. This work clarifies how to take advantage of this character in motion generation and the design of a multitask controller for a humanoid robot. We focus especially on the angular momentum of the robot and the inherent redundancy resolution problem referred to as the “momentum distribution problem.” It is shown that with a proper momentum distribution, emergent behaviors (motion synergies) can be obtained that resemble those used by humans. A real-time controller for position- and torque-controlled humanoid robots is proposed, which has a simple structure. The performance of the controller is confirmed in a simulated environment with a number of tasks, including reactive motion control to accommodate external disturbances (both continuous-force and impacts), acrobatic tasks such as somersaults and jumps, dynamic walking with various gaits and variable center of mass height, blind stepping on an unknown obstacle, and balancing on a wobble board under external disturbances.
Dragomir N. Nenchev, Ryo Iizuka
IEEE Trans. Robotics2
2019 Reliable Wireless Connection for Factory through a Distributed Antenna System in 920MHz
abstract
This paper discusses a reliable wireless connection for factory through a distributed antenna system in 920MHz. In this paper, a base station that combines multiple destination nodes installed in a factory and mobile nodes are assumed. In a proposed system, multiple TXs and RXs for a base station are assumed to be fed through a single fiber with Wavelength Division Multiplexing(WDM) or Time Division Multiplexing(TDM) technique with a concept of radio over fiber(RoF). Diversity combining technique are investigated for multiple antenna reception through measurement campaigns in a laboratory room that mimics a factory environment.
Ryo Iizuka, Tetsushi Ikegami
APCC1