Tactile object pose estimation from the first touch with geometric contact rendering
MB Villalonga, A Rodriguez, B Lim… - … on Robot Learning, 2021 - proceedings.mlr.press
In this paper, we present an approach to tactile pose estimation from the first touch for known
objects. First, we create an object-agnostic map from real tactile observations to contact …
objects. First, we create an object-agnostic map from real tactile observations to contact …
Optimizing the cellular automata finite element model for additive manufacturing to simulate large microstructures
K Teferra, DJ Rowenhorst - Acta materialia, 2021 - Elsevier
This study proposes an implementation of the cellular automata finite element (CAFE) model
in order to optimize its performance for simulating the solidification of additively …
in order to optimize its performance for simulating the solidification of additively …
Solidification-driven orientation gradients in additively manufactured stainless steel
A sample of 304L stainless steel manufactured by Laser Engineered Net Shaping (LENS)
was characterized in 3D using TriBeam tomography. The crystallographic, structural, and …
was characterized in 3D using TriBeam tomography. The crystallographic, structural, and …
A dictionary approach to electron backscatter diffraction indexing
YH Chen, SU Park, D Wei, G Newstadt… - Microscopy and …, 2015 - cambridge.org
We propose a framework for indexing of grain and subgrain structures in electron
backscatter diffraction patterns of polycrystalline materials. We discretize the domain of a …
backscatter diffraction patterns of polycrystalline materials. We discretize the domain of a …
Tac2pose: Tactile object pose estimation from the first touch
In this paper, we present Tac2Pose, an object-specific approach to tactile pose estimation
from the first touch for known objects. Given the object geometry, we learn a tailored …
from the first touch for known objects. Given the object geometry, we learn a tailored …
Indexing of electron back-scatter diffraction patterns using a convolutional neural network
Accurate indexing of EBSD patterns presents a challenging problem. We propose a new
convolutional neural network (EBSD-CNN) to realize real-time indexing of EBSD patterns; …
convolutional neural network (EBSD-CNN) to realize real-time indexing of EBSD patterns; …
A framework for predicting residual mechanical response fields for laser powder bed fusion at the polycrystalline length scale
A framework is developed to directly model the effect of processing parameters utilized
during laser powder bed fusion additive manufacturing (LPBF AM) on material …
during laser powder bed fusion additive manufacturing (LPBF AM) on material …
Microstructural statistics for fatigue crack initiation in polycrystalline nickel-base superalloys
In advanced engineering alloys where inclusions and pores are minimized during
processing, the initiation of cracks due to cyclic loading shifts to intrinsic microstructural …
processing, the initiation of cracks due to cyclic loading shifts to intrinsic microstructural …
Consistent representations of and conversions between 3D rotations
In materials science the orientation of a crystal lattice is described by means of a rotation
relative to an external reference frame. A number of rotation representations are in use …
relative to an external reference frame. A number of rotation representations are in use …
Error analysis of the crystal orientations obtained by the dictionary approach to EBSD indexing
The efficacy of the dictionary approach to Electron Back-Scatter Diffraction (EBSD) indexing
was evaluated through the analysis of the error in the retrieved crystal orientations. EBSPs …
was evaluated through the analysis of the error in the retrieved crystal orientations. EBSPs …