Yasutaka Omoto

dblp:77/7792 · DBLP profile ↗
← Back
2ranked-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 · 1Applied, interdisciplinary, general and emerging computing · 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
2 papers
Robot manipulation · 96% Motion planning and robot control · 4%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › nonprehensile manipulation
dynamic manipulation
0.222009
Dynamic Manipulation Inspired by the Handling of a Pizza Peel · IEEE Trans. Robotics 2009
Non-grasp manipulation of deformable object by using pizza handling mechanism · ICRA 2009
Robotics › Robot manipulation
nonprehensile manipulation
0.222009
Dynamic Manipulation Inspired by the Handling of a Pizza Peel · IEEE Trans. Robotics 2009
Non-grasp manipulation of deformable object by using pizza handling mechanism · ICRA 2009
Robotics › Robot manipulation
deformable object manipulation
0.112009
Non-grasp manipulation of deformable object by using pizza handling mechanism · ICRA 2009
Robotics › Robot manipulation › manipulation skills
tool-use manipulation
0.112009
Dynamic Manipulation Inspired by the Handling of a Pizza Peel · IEEE Trans. Robotics 2009
Robotics › Robot manipulation › nonprehensile manipulation
dynamic object manipulation
0.012009
Dynamic Manipulation Inspired by the Handling of a Pizza Peel · IEEE Trans. Robotics 2009
Robotics › Motion planning and robot control
motion planning
0.012009
Dynamic Manipulation Inspired by the Handling of a Pizza Peel · IEEE Trans. Robotics 2009

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

trajectory generation · 0.1simulation · 0.1experiment · 0.1dynamic modeling · 0.1
YearPublicationVenuePosition
2009 Non-grasp manipulation of deformable object by using pizza handling mechanism
abstract
This paper discusses the non-grasp dynamic manipulation of a deformable object inspired by the handling mechanism of pizza master. The master handles a tool where a plate is attached at the tip of a bar, and he remotely manipulates a pizza on the plate. We found that he aggressively utilizes two DOFs (degrees of freedom), such that the linear motion along the bar and the rotational one around the bar, in order to produce quick plate motions for dynamically manipulating the object. Applying this handling mechanism to the robot system, we first show how to rotate an object by using the two DOFs of plate motion. We then reveal that the deformation of the object generated by dynamic effects can drastically contribute to high-speed and stable rotation, just like human steps for turn on the floor. By both simulation and experiment, we show that there exists the optimum plate motion leading to the maximum rotational speed of the object.
Mitsuru Higashimori, Yasutaka Omoto, Makoto Kaneko
ICRA2
2009 Dynamic Manipulation Inspired by the Handling of a Pizza Peel
abstract
This paper discusses dynamic manipulation inspired by the handling mechanism of a pizza chef. The chef handles a tool called ldquopizza peel,rdquo where a plate is attached at the tip of a bar, and he remotely manipulates a pizza on the plate. We found that he aggressively utilizes only two degrees of freedom (DOFs) from the remote handling location during manipulation: translation along the bar and rotation about the bar. From the viewpoint of a dynamic system, the inertial loads for these specific DOFs are never affected by the length of the bar. This is important for the production of quick plate motions so that the object on the plate can be dynamically and remotely manipulated. Applying this handling mechanism to a robot system, we first reveal how to make the object's motion for three DOFs by using two DOFs of plate motion. We then show that it is guaranteed to achieve an arbitrary desired set of position and orientation of the object by the proposed manipulation scheme. The proposed method has good manipulability because the translational motion of the object can be fully decoupled from the rotational motion (though notviceversa). Finally, we show a couple of experiments that confirm the basic idea.
Mitsuru Higashimori, Keisuke Utsumi, Yasutaka Omoto, Makoto Kaneko
IEEE Trans. Robotics3