Sotabase

Career

· AI Engineering Lead, Astrocade2024–
· Machine Learning Scientist, Astrocade2023–
· PhD in Computer Science, Stanford University2018–2023
· PhD Student, Stanford University2018–2023
· Research Assistant, Stanford University2017–2018
· Master of Science - MS in Computer Science, Stanford University2016–2018
· Software Engineer, Oracle2015–2017
· Research Intern, EPFL2014–
· Robotics Institute Summer Scholar, Carnegie Mellon University2013–
· CS 3600 Teaching Assistant, Georgia Institute of Technology2013–2015
· Undergraduate Research, Georgia Institute of Technology2013–2015
· ECE Research with Opportunity Research Scholars, Georgia Institute of Technology2012–2013
· Bachelor of Science; Bachelor of Science (Dual Major in Electrical Engineering; Computer Science), Georgia Institute of Technology2011–2015
· Founder, Miro2011–
· Master's Degree, Higher School of Economics2009–
· Founder, Vitamin Group2005–2012
· Bachelor's Degree, Business Administration and Management, General, Higher School of Economics2004–
· Astrocade

Publications (30)

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks
Conference on Robot Learning · 2021
290
cited
Learning task-oriented grasping for tool manipulation from simulated self-supervision
Robotics: Science and Systems · 2018
236
cited
DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image
IEEE Workshop/Winter Conference on Applications of Computer Vision · 2017
124
cited
Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter
IEEE International Conference on Robotics and Automation · 2019
119
cited
Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation
Conference on Robot Learning · 2021
76
cited
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers
Conference on Robot Learning · 2019
51
cited
Visuomotor Mechanical Search: Learning to Retrieve Target Objects in Clutter
IEEE/RJS International Conference on Intelligent RObots and Systems · 2020
50
cited
Semantic and Geometric Modeling with Neural Message Passing in 3D Scene Graphs for Hierarchical Mechanical Search
IEEE International Conference on Robotics and Automation · 2020
30
cited
Guest Editorial Open Discussion of Robot Grasping Benchmarks, Protocols, and Metrics
IEEE Transactions on Automation Science and Engineering · 2018
29
cited
Modeling Dynamic Environments with Scene Graph Memory
Adaptive Agents and Multi-Agent Systems · 2023
18
cited
An evaluation of GUI and kinesthetic teaching methods for constrained-keyframe skills
IEEE/RJS International Conference on Intelligent RObots and Systems · 2015
15
cited
Task-Driven Graph Attention for Hierarchical Relational Object Navigation
IEEE International Conference on Robotics and Automation · 2023
10
cited
Saved You A Click: Automatically Answering Clickbait Titles
arXiv.org · 2022
8
cited
COVID-19 classification based on CNNs models in CT image datasets
International Conference on Electronics, Computer and Computation · 2021
4
cited
CT Image Classification Based on Stacked Ensemble Of Convolutional Neural Networks
IEEE International Conference on Systems, Man and Cybernetics · 2022
2
cited
DeepCrop : Directed Object Segmentation with Deep Learning
2016
1
cited
Reverse dictionary
Shakespearean Rhetoric · 2021
1
cited
Go Jackets! Oral Presentation Sessions Student Center, 3rd Floor Pan-cancer Analysis for Studying Cancer Stage Using Protein Expression Data Robustness Analysis of the Total Cavopulmonary Connection with Steady and Pulsatile Computational Fluid Dynamics Simulations Finding Meaning in Text: Parsing S
Towards Grasp Transfer using Shape Deformation
2017
Sotabase
Andrey Kurenkov | Researcher Profile | Sotabase | Sotabase