Ria Doshi

Ria Doshi is a computer science PhD student at Stanford University, where she is advised by Jeannette Bohg and conducts robotics research at the Stanford Artificial Intelligence Laboratory. Her work focuses on building generalist embodied intelligence, including cross-embodied learning and multi-robot collaboration. She is the lead author of CHORUS, a framework for decentralized multi-embodiment collaboration using a single vision-language-action policy, and co-authored Scaling Cross-Embodied Learning, which was presented at the Conference on Robot Learning in 2024. She completed her undergraduate studies at UC Berkeley, where she was advised by Sergey Levine.