Ria Doshi
Hi! I’m a fourth-year undergraduate student at UC Berkeley studying computer science. My research focuses on building generalist robot policies, through cross-embodied data, vision-language pre-training, and autonomous policy learning. I’ve had the pleasure of working with Professor Sergey Levine and Professor Jeannette Bohg on the above.
Aside from robot learning, I’ve done research in emergent phenomena of LLMs with Professor Anant Sahai. I’m also the author of The Code Detectives, a book series about young girls using AI to solve mysteries.
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Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation
Ria Doshi*, Homer Walke*, Oier Mees, Sudeep Dasari, Sergey Levine
(Oral Presentation) Conference on Robot Learning (CoRL) 2024
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Code
Shadow: Leveraging Segmentation Masks for Cross-Embodiment Policy Transfer
Marion Lepert,
Ria Doshi,
Jeannette Bohg
Conference on Robot Learning (CoRL) 2024
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PDF
Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance
Kelvin Xu*, Zheyuan Hu*,
Ria Doshi,
Aaron Rovinsky, Abhishek Gupta, Vikash Kumar, Sergey Levine
International Conference on Robotics & Automation (ICRA) 2022
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PDF
PolyGround: Towards a Playground for Large Language Model Alignment & PEFT Using Polynomial Regression
Ria Doshi*, Morten Svendgård*, Max Wilcoxson*, Dylan Davis*, Reya Vir, Anant Sahai
International Conference on Machine Learning (ICML) Workshop 2024
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PDF
Octo: An Open-Source Generalist Robot Policy
Dibya Ghosh*, Homer Walke*, Karl Pertsch*, Kevin Black*, Oier Mees*, Sudeep Dasari, Joey Hejna, Tobias Kreiman,
Ria Doshi,
Charles Xu, Jianlan Luo, You Liang Tan, Lawrence Yunliang Chen, Pannag Sanketi, Quan Vuong, Ted Xiao, Dorsa Sadigh, Chelsea Finn, Sergey Levine
Robotics, Sciences & Systems (RSS) 2024
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Code
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Open X Embodiment Collaboration et. al.
International Conference on Robotics & Automation (ICRA) 2023
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PDF
ML Research Intern, Wayve AI
My work focused on building LINGO, towards a vision-language-action model for autonomous driving. I was involved with building a large-scale inference pipeline using Kubernetes, improving road-signal perception capabilities, and data curation for referential segmentation.
Project Webpage
ML Consultant, Spyne AI
I developed high-fidelity, 3D renderings of cars using NERF models for smarter, more efficient online marketing. Implemented interpolation & feature matching techniques for output consistency across varying input dimensions.
Author, The Code Detectives Book Series
I've always been a big fan of mystery novels, especially when I was younger. I really enjoyed writing The Code Detectives, about two young girls who use coding & AI to solve neighborhood mysteries. Writing the books has been one of the most gratifying projects I've worked on.
Book 1 •
Book 2
2024
Oral Presentation, Conference on Robot Learning2024
Invited Talk, Google DeepMind2024
Invited Talk, Wayve AI