Welcome
Hello! I am a researcher advised by Jeannette Bohg at IPRL Lab, affiliated with the Stanford Artificial Intelligence Laboratory (SAIL). As an undergraduate, I was also advised by Chelsea Finn at IRIS Lab.
I recently graduated from Stanford with my M.S. with Research Distinction in Computer Science. Before that, I graduated with my B.S. with Honors in Symbolic Systems and minor in Mathematics.
My research interests span robotics, machine learning, and computer vision. I’m interested in enabling robots to learn generalizable representations from diverse datasets, and refine them through interaction for performing complex tasks in the real world. I’m especially interested in:
- Representation learning from diverse data: Extracting useful interaction priors from diverse human and robot data.
- Learning through interaction: Enhancing precision, dexterity, and robustness via sample-efficient online interaction.
- Robust manipulation and control: Scaling dexterous manipulation to challenging dynamic settings.
- Human-robot collaboration: Enabling robots to autonomously complete tasks while adapting to human feedback on the fly.
If any of the above sounds interesting to you, I would love to hear from you! Feel free to reach me at oliviayl [at] stanford [dot] edu.