Antonova, Rika

12 publications

CoRL 2025 CUPID: Curating Data Your Robot Loves with Influence Functions Christopher Agia, Rohan Sinha, Jingyun Yang, Rika Antonova, Marco Pavone, Haruki Nishimura, Masha Itkina, Jeannette Bohg

ICML 2025 Causal-PIK: Causality-Based Physical Reasoning with a Physics-Informed Kernel Carlota Parés Morlans, Michelle Yi, Claire Chen, Sarah A Wu, Rika Antonova, Tobias Gerstenberg, Jeannette Bohg

CoRL 2025 Mobi-$\pi$: Mobilizing Your Robot Learning Policy Jingyun Yang, Isabella Huang, Brandon Vu, Max Bajracharya, Rika Antonova, Jeannette Bohg

CoRL 2024 EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning Jingyun Yang, Ziang Cao, Congyue Deng, Rika Antonova, Shuran Song, Jeannette Bohg

CoRL 2024 Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress Christopher Agia, Rohan Sinha, Jingyun Yang, Ziang Cao, Rika Antonova, Marco Pavone, Jeannette Bohg

CoRL 2022 Rethinking Optimization with Differentiable Simulation from a Global Perspective Rika Antonova, Jingyun Yang, Krishna Murthy Jatavallabhula, Jeannette Bohg

CoRL 2021 Learning to Be Multimodal : Co-Evolving Sensory Modalities and Sensor Properties Rika Antonova, Jeannette Bohg

L4DC 2021 Sequential Topological Representations for Predictive Models of Deformable Objects Rika Antonova, Anastasia Varava, Peiyang Shi, J. Frederico Carvalho, Danica Kragic

CoRL 2019 Bayesian Optimization in Variational Latent Spaces with Dynamic Compression Rika Antonova, Akshara Rai, Tianyu Li, Danica Kragic

JMLR 2019 Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots Akshara Rai, Rika Antonova, Franziska Meier, Christopher G. Atkeson

CoRL 2018 Global Search with Bernoulli Alternation Kernel for Task-Oriented Grasping Informed by Simulation Rika Antonova, Mia Kokic, Johannes A. Stork, Danica Kragic

CoRL 2017 Deep Kernels for Optimizing Locomotion Controllers Rika Antonova, Akshara Rai, Christopher G. Atkeson