Sotabase

Career

· Postdoctoral Researcher, Stanford University2021–2023
· Associate Professor, University of Cambridge2020–
· PhD Student, KTH Royal Institute of Technology2016–2020
· Master of Science in Robotics, Carnegie Mellon University
· Software Engineer, Google
· Intern, Microsoft Research
· Intern, NVIDIA Robotics
· University of Cambridge

Publications (54)

TidyBot: Personalized Robot Assistance with Large Language Models
IEEE/RJS International Conference on Intelligent RObots and Systems · 2023
394
cited
Benchmarking Bimanual Cloth Manipulation
IEEE Robotics and Automation Letters · 2020
80
cited
Bayesian Optimization Using Domain Knowledge on the ATRIAS Biped
IEEE International Conference on Robotics and Automation · 2017
75
cited
EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning
Conference on Robot Learning · 2024
71
cited
Reinforcement Learning for Pivoting Task
arXiv.org · 2017
70
cited
Deep Kernels for Optimizing Locomotion Controllers
Conference on Robot Learning · 2017
48
cited
EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation
IEEE International Conference on Robotics and Automation · 2023
47
cited
DiffCloud: Real-to-Sim from Point Clouds with Differentiable Simulation and Rendering of Deformable Objects
IEEE/RJS International Conference on Intelligent RObots and Systems · 2022
42
cited
Rethinking Optimization with Differentiable Simulation from a Global Perspective
Conference on Robot Learning · 2022
41
cited
Learning Periodic Tasks from Human Demonstrations
IEEE International Conference on Robotics and Automation · 2021
32
cited
Sample efficient optimization for learning controllers for bipedal locomotion
IEEE-RAS International Conference on Humanoid Robots · 2016
31
cited
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress
Conference on Robot Learning · 2024
30
cited
Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots
Journal of machine learning research · 2018
29
cited
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation
IEEE Robotics and Automation Letters · 2021
26
cited
Dynamic Environments with Deformable Objects
NeurIPS Datasets and Benchmarks · 2021
23
cited
Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation
Conference on Robot Learning · 2018
22
cited
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression
Conference on Robot Learning · 2019
21
cited
In-Hand Manipulation of Unknown Objects with Tactile Sensing for Insertion
IEEE/RJS International Conference on Intelligent RObots and Systems · 2022
16
cited
Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation
IEEE International Conference on Robotics and Automation · 2022
12
cited
Analytic Manifold Learning: Unifying and Evaluating Representations for Continuous Control
arXiv.org · 2020
9
cited
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Rika Antonova | Researcher Profile | Sotabase | Sotabase