Rika Antonova

According to our database, Rika Antonova authored at least 26 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

TidyBot: personalized robot assistance with large language models.

Jimmy Wu, Rika Antonova, Adam Kan, Marion Lepert, Andy Zeng, Shuran Song, Jeannette Bohg, Szymon Rusinkiewicz, Thomas A. Funkhouser

Auton. Robots, December, 2023

EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation.

Jingyun Yang, Congyue Deng, Jimmy Wu, Rika Antonova, Leonidas J. Guibas, Jeannette Bohg

CoRR, 2023

In-Hand Manipulation of Unknown Objects with Tactile Sensing for Insertion.

Chaoyi Pan, Marion Lepert, Shenli Yuan, Rika Antonova, Jeannette Bohg

IROS, 2023

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

Mengxi Li, Rika Antonova, Dorsa Sadigh, Jeannette Bohg

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

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

Rika Antonova, Jingyun Yang, Priya Sundaresan, Dieter Fox, Fabio Ramos, Jeannette Bohg

IEEE Robotics Autom. Lett., 2022

Task-Driven In-Hand Manipulation of Unknown Objects with Tactile Sensing.

Chaoyi Pan, Marion Lepert, Shenli Yuan, Rika Antonova, Jeannette Bohg

CoRR, 2022

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

Priya Sundaresan, Rika Antonova, Jeannette Bohg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learning Periodic Tasks from Human Demonstrations.

Jingyun Yang, Junwu Zhang, Connor Settle, Akshara Rai, Rika Antonova, Jeannette Bohg

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Rethinking Optimization with Differentiable Simulation from a Global Perspective.

Rika Antonova, Jingyun Yang, Krishna Murthy Jatavallabhula, Jeannette Bohg

Proceedings of the Conference on Robot Learning, 2022

Robots Teaching Humans: A New Communication Paradigm via Reverse Teleoperation.

Rika Antonova, Ankur Handa

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with IsaacGym.

Rika Antonova, Fabio Ramos, Rafael Possas, Dieter Fox

CoRR, 2021

Dynamic Environments with Deformable Objects.

Rika Antonova, Peiyang Shi, Hang Yin, Zehang Weng, Danica Kragic

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Sequential Topological Representations for Predictive Models of Deformable Objects.

Rika Antonova, Anastasiia Varava, Peiyang Shi, J. Frederico Carvalho, Danica Kragic

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

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

Rika Antonova, Jeannette Bohg

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Benchmarking Bimanual Cloth Manipulation.

Irene Garcia-Camacho, Guillem Alenyà, Danica Kragic, Martina Lippi, Michael C. Welle, Hang Yin, Rika Antonova, Anastasiia Varava, Júlia Borràs Sol, Carme Torras, Alessandro Marino

IEEE Robotics Autom. Lett., 2020

Analytic Manifold Learning: Unifying and Evaluating Representations for Continuous Control.

Rika Antonova, Maksim Maydanskiy, Danica Kragic, Sam Devlin, Katja Hofmann

CoRR, 2020

Variational Auto-Regularized Alignment for Sim-to-Real Control.

Martin Hwasser, Danica Kragic, Rika Antonova

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots.

Akshara Rai, Rika Antonova, Franziska Meier, Christopher G. Atkeson

J. Mach. Learn. Res., 2019

Bayesian Optimization in Variational Latent Spaces with Dynamic Compression.

Rika Antonova, Akshara Rai, Tianyu Li, Danica Kragic

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Bayesian Optimization Using Domain Knowledge on the ATRIAS Biped.

Akshara Rai, Rika Antonova, Seungmoon Song, William C. Martin, Hartmut Geyer, Christopher G. Atkeson

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation.

Rika Antonova, Mia Kokic, Johannes A. Stork, Danica Kragic

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

Reinforcement Learning for Pivoting Task.

Rika Antonova, Silvia Cruciani, Christian Smith, Danica Kragic

CoRR, 2017

Unlocking the Potential of Simulators: Design with RL in Mind.

Rika Antonova, Silvia Cruciani

CoRR, 2017

Deep Kernels for Optimizing Locomotion Controllers.

Rika Antonova, Akshara Rai, Christopher G. Atkeson

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016

Automatically Learning to Teach to the Learning Objectives.

Rika Antonova, Joe Runde, Min Hyung Lee, Emma Brunskill

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Sample efficient optimization for learning controllers for bipedal locomotion.

Rika Antonova, Akshara Rai, Christopher G. Atkeson

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016