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Takumi Tanemura

dblp:05/5966 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—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.

Computer graphics and multimedia
1 paper
Geometric modeling and processing · 100%
Human-computer interaction and pervasive computing
1 paper
Haptics and multimodal interaction · 100%
Artificial intelligence
1 paper
Motion planning and robot control · 100%

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

TopicWeightPapersLastEvidence papers
Geometric modeling and processing › deformable models
deformable object modeling
0.012003
On the calibration of deformation model of rheology object by a modified randomized algorithm · ICRA 2003
Haptics and multimodal interaction
haptic rendering
0.012003
On the calibration of deformation model of rheology object by a modified randomized algorithm · ICRA 2003
Robotics › Motion planning and robot control › robot control › force control
force-based manipulation
0.012003
On the calibration of deformation model of rheology object by a modified randomized algorithm · ICRA 2003

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

voxel/lattice model · 0.1shape difference minimization · 0.1damper-spring model · 0.1randomized algorithms · 0.1randomized algorithm · 0.0
YearPublicationVenuePosition
2003 On the calibration of deformation model of rheology object by a modified randomized algorithm
abstract
There are many kinds of rheology objects in our living life. If such rheology objects are individually and completely modeled, we can flexibly deal with such various objects in a factory by a robotic manipulator controlling six degrees-of-freedom forces and moments and also operate them at a 3-D graphics world in a house by a human via a wonderful haptic device feeling the forces and moments. If such a system is developed after acquiring a rheology dynamic model, we can enjoy a clay work in a 3-D virtual environment. For this purpose, we calibrate deformation model of a rheology object by a modified randomized algorithm based on experimental data. The data is measured from a bread material pushed by a robotic manipulator exactly. The model is a 3-D voxel/lattice structure with many elements, and each element consists of two dampers and one spring. By changing three coefficients of dampers and spring, we can describe various material properties concerning to viscosity and elasticity. In this paper, by minimizing shape difference between real and virtual rheology objects in the near-optimal algorithm, we find a better set of coefficients. Using the calibrated model, we can feel three degrees-of-freedom forces and three degrees-of-freedom moments attracted from a calibrated virtual object in a haptic device and synchronously we can watch shape deformation of the object in a 3-D graphics animation.
Hiroshi Noborio, Ryo Enoki, Shohei Nishimoto, Takumi Tanemura
ICRA4