Demo Data from SIGIR 2026 / reviewers in the wild / expert
Shohei Nishimoto
dblp:47/4997
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing › deformable models
deformable object modeling |
0.0 | 1 | 2003 | On the calibration of deformation model of rheology object by a modified randomized algorithm · ICRA 2003 |
Haptics and multimodal interaction
haptic rendering |
0.0 | 1 | 2003 | 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 |
0.0 | 1 | 2003 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | On the calibration of deformation model of rheology object by a modified randomized algorithmabstractThere 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 |
ICRA | 3 |