Fetching the paper…
Reading the bibliography…
We propose a method that efficiently learns distributions over articulation model parameters directly from depth images without the need to know articulation model categories a priori.
Distributions of matrix variates and latent roots derived from normal samples
A. T. James · 1964
Earlier work this paper cites.
The von mises–fisher matrix distribution in orientation statistics
C. Khatri and K. V. Mardia · 1977
Earlier work this paper cites.
Directional statistics , volume 494
K. V. Mardia and P. E. Jupp · 1999
Earlier work this paper cites.
The 3d line motion matrix and alignment of line reconstructions
A. Bartoli and P. Sturm · 2001
Earlier work this paper cites.
Statistics on special manifolds , volume 174
Y. Chikuse · 2003
Earlier work this paper cites.
Manipulating articulated objects with interactive perception
D. Katz and O. Brock · 2008
Earlier work this paper cites.
A probabilistic framework for learning kinematic models of articulated objects
J. Sturm, C. Stachniss, and W. Burgard · 2011
Earlier work this paper cites.
Mujoco: A physics engine for model-based control
E. Todorov, T. Erez, and Y. Tassa · 2012
Earlier work this paper cites.
Interactive segmentation, tracking, and kinematic modeling of unknown 3d articulated objects
D. Katz, M. Kazemi, J. A. Bagnell, and A. Stentz · 2013
Earlier work this paper cites.
Online interactive perception of articulated objects with multi-level recursive estimation based on task-specific priors
R. Martín-Martín and O. Brock · 2014
Earlier work this paper cites.
Online bayesian changepoint detection for articulated motion models
S. Niekum, S. Osentoski, C. G. Atkeson, and A. G. Barto · 2015
Earlier work this paper cites.
Learning articulated motions from visual demonstration
S. Pillai, M. R. Walter, and S. Teller · 2015
Earlier work this paper cites.
Shapenet: An information-rich 3d model repository
A. X. Chang, T. Funkhouser, L. Guibas, P. Hanrahan, Q. Huang, Z. Li, S. Savarese, M. Savva, S. Song, H. Su, et al · 2015
Earlier work this paper cites.
Unscented orientation estimation based on the bingham distribution
I. Gilitschenski, G. Kurz, S. J. Julier, and U. D. Hanebeck · 2015
Earlier work this paper cites.
An integrated approach to visual perception of articulated objects
R. Martín-Martín, S. Höfer, and O. Brock · 2016
Cited alongside, same era.
Estimating se (3) elements using a dual quaternion based linear kalman filter
R. A. Srivatsan, G. T. Rosen, D. F. N. Mohamed, and H. Choset · 2016
Cited alongside, same era.
Springer handbook of robotics
B. Siciliano and O. Khatib · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Interactive perception: Leveraging action in perception and perception in action
J. Bohg, K. Hausman, B. Sankaran, O. Brock, D. Kragic, S. Schaal, and G. S. Sukhatme · 2017
Cited alongside, same era.
C-learn: Learning geometric constraints from demonstrations for multi-step manipulation in shared autonomy
C. Pérez-D’Arpino and J. A. Shah · 2017
Rpm-net: Recurrent prediction of motion and parts from point cloud
Z. Yan, R. Hu, X. Yan, L. Chen, O. Van Kaick, H. Zhang, and H. Huang · 2019
Later among the works it cites.
PartNet: A large-scale benchmark for fine-grained and hierarchical part-level 3D object understanding
K. Mo, S. Zhu, A. X. Chang, L. Yi, S. Tripathi, L. J. Guibas, and H. Su · 2019
Later among the works it cites.
Se-sync: A certifiably correct algorithm for synchronization over the special euclidean group
D. M. Rosen, L. Carlone, A. S. Bandeira, and J. J. Leonard · 2019
Later among the works it cites.
Learning articulated constraints from a one-shot demonstration for robot manipulation planning
Y. Liu, F. Zha, L. Sun, J. Li, M. Li, and X. Wang · 2019
Later among the works it cites.
Overcoming limitations of mixture density networks: A sampling and fitting framework for multimodal future prediction
O. Makansi, E. Ilg, O. Cicek, and T. Brox · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Mobilenets: Efficient convolutional neural networks for mobile vision applications
A. G. Howard, M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, M. Andreetto, and H. Adam · 2017
Cited alongside, same era.
Efficient hierarchical robot motion planning under uncertainty and hybrid dynamics
A. Jain and S. Niekum · 2018
Cited alongside, same era.
Active reward learning from critiques
Y. Cui and S. Niekum · 2018
Cited alongside, same era.
Probabilistic pose estimation using a bingham distribution-based linear filter
R. Arun Srivatsan, M. Xu, N. Zevallos, and H. Choset · 2018
Cited alongside, same era.
Inferring geometric constraints in human demonstrations
G. Subramani, M. Zinn, and M. Gleicher · 2018
Cited alongside, same era.
Coupled recursive estimation for online interactive perception of articulated objects
R. Martín-Martín and O. Brock · 2019
Cited alongside, same era.
Plücker Coordinates for Lines in the Space [Lecture Notes] , August 2019
Y.-b. Jia · 2019
Later among the works it cites.
Learning hybrid object kinematics for efficient hierarchical planning under uncertainty
A. Jain and S. Niekum · 2020
Later among the works it cites.
Category-level articulated object pose estimation
X. Li, H. Wang, L. Yi, L. J. Guibas, A. L. Abbott, and S. Song · 2020
Later among the works it cites.
Nothing but geometric constraints: A model-free method for articulated object pose estimation
Q. Liu, W. Qiu, W. Wang, G. D. Hager, and A. L. Yuille · 2020
Later among the works it cites.
Learning for safety-critical control with control barrier functions
A. Taylor, A. Singletary, Y. Yue, and A. Ames · 2020
Later among the works it cites.
SAPIEN: A simulated part-based interactive environment
F. Xiang, Y. Qin, K. Mo, Y. Xia, H. Zhu, F. Liu, M. Liu, H. Jiang, Y. Yuan, H. Wang, L. Yi, A. X. Chang, L. J. Guibas, and H. Su · 2020
Later among the works it cites.
A multiview approach to learning articulated motion models
A. F. Daniele, T. M. Howard, and M. R. Walter · 2020
Later among the works it cites.
Calculation and properties of zonal polynomials
L. Jiu and C. Koutschan · 2020
Later among the works it cites.
Screwnet: Category-independent articulation model estimation from depth images using screw theory
A. Jain, R. Lioutikov, C. Chuck, and S. Niekum · 2021
Closest in time.