Rika Antonova

Rika Antonova

Stanford University

H-index: 15

North America-United States

About Rika Antonova

Rika Antonova, With an exceptional h-index of 15 and a recent h-index of 15 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Transfer Learning, Reinforcement Learning, Robotics, Active Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Equivact: Sim (3)-equivariant visuomotor policies beyond rigid object manipulation

In-hand manipulation of unknown objects with tactile sensing for insertion

Method to incorporate uncertain inputs into neural networks

Tidybot: Personalized robot assistance with large language models

Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation

Rethinking Optimization with Differentiable Simulation from a Global Perspective

Robots Teaching Humans: A New Communication Paradigm via Reverse Teleoperation

DiffCloud: Real-to-Sim from Point Clouds with Differentiable Simulation and Rendering of Deformable Objects

Rika Antonova Information

University

Position

Postdoc at

Citations(all)

860

Citations(since 2020)

700

Cited By

380

hIndex(all)

15

hIndex(since 2020)

15

i10Index(all)

19

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Rika Antonova Skills & Research Interests

Transfer Learning

Reinforcement Learning

Robotics

Active Learning

Top articles of Rika Antonova

Equivact: Sim (3)-equivariant visuomotor policies beyond rigid object manipulation

arXiv preprint arXiv:2310.16050

2023/10/24

In-hand manipulation of unknown objects with tactile sensing for insertion

2023/10/1

Method to incorporate uncertain inputs into neural networks

2023/6/1

Tidybot: Personalized robot assistance with large language models

Autonomous Robots

2023/12

Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation

2022/11/4

Rethinking Optimization with Differentiable Simulation from a Global Perspective

Conference on Robot Learning (CoRL), 2022

2022/6/28

Robots Teaching Humans: A New Communication Paradigm via Reverse Teleoperation

2022/5/9

Rika Antonova
Rika Antonova

H-Index: 9

DiffCloud: Real-to-Sim from Point Clouds with Differentiable Simulation and Rendering of Deformable Objects

IEEE International Conference on Intelligent Robots and Systems (IROS) 2022

2022/4/7

A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation

IEEE Robotics and Automation Letters (RA-L)

2022/3/8

The Fourth Annual Conference on Learning for Dynamics and Control

2022

Sequential Topological Representations for Predictive Models of Deformable Objects

Proceedings of the 3rd Conference on Learning for Dynamics and Control (L4DC)

2021

Rika Antonova
Rika Antonova

H-Index: 9

Danica Kragic
Danica Kragic

H-Index: 41

Learning Periodic Tasks from Human Demonstrations

IEEE International Conference on Robotics and Automation (ICRA)

2021/9/28

Dynamic Environments with Deformable Objects

2021/8/18

Learning to be Multimodal: Co-evolving Sensory Modalities and Sensor Properties

2021/7/13

Rika Antonova
Rika Antonova

H-Index: 9

Jeannette Bohg
Jeannette Bohg

H-Index: 21

BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with IsaacGym

arXiv preprint arXiv:2107.04527

2021/7/9

Rika Antonova
Rika Antonova

H-Index: 9

Dieter Fox
Dieter Fox

H-Index: 77

Analytic manifold learning: Unifying and evaluating representations for continuous control

arXiv preprint arXiv:2006.08718

2020/6/15

Benchmarking bimanual cloth manipulation

IEEE Robotics and Automation Letters

2020/1/14

Transfer-Aware Kernels, Priors and Latent Spaces from Simulation to Real Robots

2020

Rika Antonova
Rika Antonova

H-Index: 9

How to Sim2Real with Gaussian Processes: Prior Mean versus Kernels as Priors

2nd Workshop on Closing the Reality Gap in Sim2Real Transfer for Robotics. RSS, 2020

2020

Rika Antonova
Rika Antonova

H-Index: 9

Danica Kragic
Danica Kragic

H-Index: 41

Benchmarking Unsupervised Representation Learning for Continuous Control

Robotics Retrospectives Workshop at Robotics: Science and Systems (RSS) 2020

2020

Rika Antonova
Rika Antonova

H-Index: 9

Danica Kragic
Danica Kragic

H-Index: 41

See List of Professors in Rika Antonova University(Stanford University)

Co-Authors

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