Carolyn Chen — accepted AI-conference papers

2026

SHOPPER: Practical Insights on Grasp Strategies for Mobile Manipulation in the Wild

Isabella Huang, Richard Cheng, Sangwoon Kim, Daniel Kruse, Carolyn Chen, Lukas Kaul +5

ICRA 2026poster

Mobile manipulation systems have advanced significantly in recent years. However, substantial gaps remain that prevent state-of-the-art platforms from achieving widespread real-world deployment, particularly in reliably grasping items in unstructured environments. To help bridge this gap, we develop…

Cited by 0 Scholar ↗

2017

Multilateral surgical pattern cutting in 2D orthotropic gauze with deep reinforcement learning policies for tensioning

Brijen Thananjeyan, Animesh Garg, Sanjay Krishnan, Carolyn Chen, Lauren Miller, Ken Goldberg

ICRA 2017poster

In the Fundamentals of Laparoscopic Surgery (FLS) standard medical training regimen, the Pattern Cutting task requires residents to demonstrate proficiency by maneuvering two tools, surgical scissors and tissue gripper, to accurately cut a circular pattern on surgical gauze suspended at the corners.…

Cited by 178 Source ↗Scholar ↗