Fetching the paper…
Reading the bibliography…
Imitation learning of robot policies from few demonstrations is crucial in open-ended applications.
Parametric correspondence and chamfer matching: Two new techniques for image matching
H. G. Barrow, J. M. Tenenbaum, R. C. Bolles, and H. C. Wolf · 1977
Earlier work this paper cites.
Closed-form solution of absolute orientation using orthonormal matrices
B. K. P. Horn, H. M. Hilden, and S. Negahdaripour · 1988
Earlier work this paper cites.
The farthest point strategy for progressive image sampling
Y. Eldar, M. Lindenbaum, M. Porat, and Y. Y. Zeevi · 1994
Earlier work this paper cites.
Data-Driven Grasp Synthesis Using Shape Matching and Task-Based Pruning
Y. Li, J. L. Fu, and N. S. Pollard · 2007
Earlier work this paper cites.
Point-Set Registration: Coherent Point Drift
A. Myronenko and X. Song · 2010
Earlier work this paper cites.
Generalization of human grasping for multi-fingered robot hands
H. Ben Amor, O. Kroemer, U. Hillenbrand, G. Neumann, and J. Peters · 2012
Earlier work this paper cites.
Transferring functional grasps through contact warping and local replanning
U. Hillenbrand and M. A. Roa · 2012
Earlier work this paper cites.
Learning of Planning Models for Dexterous Manipulation Based on Human Demonstrations
R. Jäkel, S. R. Schmidt-Rohr, S. W. Rühl, A. Kasper, Z. Xue, and R. Dillmann · 2012
Earlier work this paper cites.
Generalizing pouring actions between objects using warped parameters
S. Brandi, O. Kroemer, and J. Peters · 2014
Earlier work this paper cites.
Functional power grasps transferred through warping and replanning
T. Stouraitis, U. Hillenbrand, and M. A. Roa · 2015
Earlier work this paper cites.
Learning from multiple demonstrations using trajectory-aware non-rigid registration with applications to deformable object manipulation
A. X. Lee, A. Gupta, H. Lu, S. Levine, and P. Abbeel · 2015
Earlier work this paper cites.
ShapeNet: An Information-Rich 3D Model Repository, Dec. 2015
A. X. Chang, T. Funkhouser, L. Guibas, P. Hanrahan, Q. Huang, Z. Li, S. Savarese, M. Savva, S. Song, H. Su, J. Xiao, L. Yi, and F. Yu · 2015
Earlier work this paper cites.
Microsoft COCO: Common Objects in Context, Feb. 2015
T.-Y. Lin, M. Maire, S. Belongie, L. Bourdev, R. Girshick, J. Hays, P. Perona, D. Ramanan, C. L. Zitnick, and P. Dollár · 2015
Earlier work this paper cites.
Learning from Demonstrations Through the Use of Non-rigid Registration
J. Schulman, J. Ho, C. Lee, and P. Abbeel · 2016
Earlier work this paper cites.
Attention is All you Need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin · 2017
Earlier work this paper cites.
Adam: A Method for Stochastic Optimization, Jan. 2017
D. P. Kingma and J. Ba · 2017
Earlier work this paper cites.
Mask R-CNN
K. He, G. Gkioxari, P. Dollár, and R. B. Girshick · 2017
Cited alongside, same era.
Scene Parsing through ADE20K Dataset
B. Zhou, H. Zhao, X. Puig, S. Fidler, A. Barriuso, and A. Torralba · 2017
Cited alongside, same era.
Transferring Grasping Skills to Novel Instances by Latent Space Non-Rigid Registration, Sept. 2018
D. Rodriguez, C. Cogswell, S. Koo, and S. Behnke · 2018
Cited alongside, same era.
Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation
P. R. Florence, L. Manuelli, and R. Tedrake · 2018
Cited alongside, same era.
Learning Postural Synergies for Categorical Grasping Through Shape Space Registration
D. Rodriguez, A. Di Guardo, A. Frisoli, and S. Behnke · 2018
Cited alongside, same era.
Transferring Category-Based Functional Grasping Skills by Latent Space Non-Rigid Registration
D. Rodriguez and S. Behnke · 2018
A comprehensive survey on point cloud registration
X. Huang, G. Mei, J. Zhang, and R. Abbas · 2021
Later among the works it cites.
kPAM-SC: Generalizable Manipulation Planning using KeyPoint Affordance and Shape Completion
W. Gao and R. Tedrake · 2021
Later among the works it cites.
GIFT: Generalizable Interaction-aware Functional Tool Affordances without Labels, June 2021
D. Turpin, L. Wang, S. Tsogkas, S. Dickinson, and A. Garg · 2021
Later among the works it cites.
So(2)-equivariant reinforcement learning
D. Wang, R. Walters, and R. Platt · 2022
Later among the works it cites.
TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation
C. Pan, B. Okorn, H. Zhang, B. Eisner, and D. Held · 2022
Later among the works it cites.
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Supervised Autonomous Locomotion and Manipulation for Disaster Response with a Centaur-Like Robot
T. Klamt, D. Rodriguez, M. Schwarz, C. Lenz, D. Pavlichenko, D. Droeschel, and S. Behnke · 2018
Cited alongside, same era.
Explorations in homeomorphic variational auto-encoding
L. Falorsi, P. de Haan, T. R. Davidson, N. D. Cao, M. Weiler, P. Forré, and T. S. Cohen · 2018
Cited alongside, same era.
Dynamic graph cnn for learning on point clouds
Y. Wang, Y. Sun, Z. Liu, S. E. Sarma, M. M. Bronstein, and J. M. Solomon · 2019
Cited alongside, same era.
KPAM: KeyPoint Affordances for Category-Level Robotic Manipulation
L. Manuelli, W. Gao, P. R. Florence, and R. Tedrake · 2019
Cited alongside, same era.
Autonomous Bimanual Functional Regrasping of Novel Object Class Instances
D. Pavlichenko, D. Rodriguez, C. Lenz, M. Schwarz, and S. Behnke · 2019
Cited alongside, same era.
Transferring Grasp Configurations using Active Learning and Local Replanning
H. Tian, C. Wang, D. Manocha, and X. Zhang · 2019
Cited alongside, same era.
A. Simeonov, Y. Du, A. Tagliasacchi, J. B. Tenenbaum, A. Rodriguez, P. Agrawal, and V. Sitzmann · 2022
Later among the works it cites.
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields
A. Simeonov, Y. Du, Y.-C. Lin, A. R. Garcia, L. P. Kaelbling, T. Lozano-Pérez, and P. Agrawal · 2022
Later among the works it cites.
H. Ryu, J. Lee, H. Lee, and J. Choi · 2022
Later among the works it cites.
You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration
B. Wen, W. Lian, K. Bekris, and S. Schaal · 2022
Later among the works it cites.
Learning symmetric embeddings for equivariant world models
J. Y. Park, O. Biza, L. Zhao, J. van de Meent, and R. Walters · 2022
Later among the works it cites.
Se(3)-equivariant relational rearrangement with neural descriptor fields
A. Simeonov, Y. Du, L. Yen-Chen, , A. Rodriguez, , L. P. Kaelbling, T. L. Perez, and P. Agrawal · 2022
Later among the works it cites.
Detecting twenty-thousand classes using image-level supervision
X. Zhou, R. Girdhar, A. Joulin, P. Krähenbühl, and I. Misra · 2022
Later among the works it cites.
Masked-attention Mask Transformer for Universal Image Segmentation, June 2022
B. Cheng, I. Misra, A. G. Schwing, A. Kirillov, and R. Girdhar · 2022
Later among the works it cites.
Simple Open-Vocabulary Object Detection with Vision Transformers, July 2022
M. Minderer, A. Gritsenko, A. Stone, M. Neumann, D. Weissenborn, A. Dosovitskiy, A. Mahendran, A. Arnab, M. Dehghani, Z. Shen, X. Wang, X. Zhai, T. Kipf, and N. Houlsby · 2022
Later among the works it cites.
Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation, Mar. 2023
E. Chun, Y. Du, A. Simeonov, T. Lozano-Perez, and L. Kaelbling · 2023
Closest in time.
A. Kirillov, E. Mintun, N. Ravi, H. Mao, C. Rolland, L. Gustafson, T. Xiao, S. Whitehead, A. C. Berg, W. Lo, P. Dollár, and R. B. Girshick · 2023
Closest in time.