An evaluation of GUI and kinesthetic teaching methods for constrained-keyframe skills. - Andrey Kurenkov; Baris Akgün; Andrea Lockerd Thomaz (IROS, 2015)

DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image. - Andrey Kurenkov; Jingwei Ji; Animesh Garg; Viraj Mehta; JunYoung Gwak; Christopher B. Choy; Silvio Savarese (WACV, 2018)

Guest Editorial Open Discussion of Robot Grasping Benchmarks, Protocols, and Metrics. - Jeffrey Mahler; Robert Platt Jr. 001; Alberto Rodriguez 003; Matei T. Ciocarlie; Aaron M. Dollar; Renaud Detry; Máximo A. Roa; Holly A. Yanco; Adam Norton; Joe Falco; Karl Van Wyk; Elena Messina; et al. (IEEE Trans Autom. Sci. Eng., 2018)

AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers. - Andrey Kurenkov; Ajay Mandlekar; Roberto Martin Martin; Silvio Savarese; Animesh Garg (CoRL, 2019)

Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter. - Michael Danielczuk; Andrey Kurenkov; Ashwin Balakrishna; Matthew Matl; David Wang; Roberto Martín-Martín; Animesh Garg; Silvio Savarese; Ken Goldberg (ICRA, 2019)

Visuomotor Mechanical Search: Learning to Retrieve Target Objects in Clutter. - Andrey Kurenkov; Joseph Taglic; Rohun Kulkarni; Marcus Dominguez-Kuhne; Animesh Garg; Roberto Martín-Martín; Silvio Savarese (IROS, 2020)

Learning task-oriented grasping for tool manipulation from simulated self-supervision. - Kuan Fang; Yuke Zhu; Animesh Garg; Andrey Kurenkov; Viraj Mehta; Li Fei-Fei 001; Silvio Savarese (Int. J. Robotics Res., 2020)

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks. - Chengshu Li 002; Fei Xia 002; Roberto Martín-Martín; Michael Lingelbach; Sanjana Srivastava; Bokui Shen; Kent Elliott Vainio; Cem Gokmen; Gokul Dharan; Tanish Jain; Andrey Kurenkov; C. Karen Liu; et al. (CoRL, 2021)

Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation. - Josiah Wong; Albert Tung; Andrey Kurenkov; Ajay Mandlekar; Li Fei-Fei 001; Silvio Savarese; Roberto Martín-Martín (CoRL, 2021)

Semantic and Geometric Modeling with Neural Message Passing in 3D Scene Graphs for Hierarchical Mechanical Search. - Andrey Kurenkov; Roberto Martín-Martín; Jeffrey Ichnowski; Ken Goldberg; Silvio Savarese (ICRA, 2021)

CT Image Classification Based on Stacked Ensemble Of Convolutional Neural Networks. - Adai Shomanov; Dina Kuchenchirekova; Andrey Kurenkov; Minho Lee (SMC, 2022)

Saved You A Click: Automatically Answering Clickbait Titles. - Oliver Johnson; Beicheng Lou; Janet Zhong; Andrey Kurenkov (CoRR, 2022)

Modeling Dynamic Environments with Scene Graph Memory. - Andrey Kurenkov; Michael Lingelbach; Tanmay Agarwal; Emily Jin; Chengshu Li 002; Ruohan Zhang; Li Fei-Fei 001; Jiajun Wu 001; Silvio Savarese; Roberto Martín-Martín (ICML, 2023)

Task-Driven Graph Attention for Hierarchical Relational Object Navigation. - Michael Lingelbach; Chengshu Li 002; Minjune Hwang; Andrey Kurenkov; Alan Lou; Roberto Martín-Martín; Ruohan Zhang; Li Fei-Fei 001; Jiajun Wu 001 (ICRA, 2023)