Jennifer Grannen

I'm a fourth-year undergraduate at UC Berkeley studying Computer Science. I work in the AUTOLAB within Berkeley AI Research (BAIR), advised by Professor Ken Goldberg.

Broadly, I am interested in robotics, computer vision, and human-robot interaction.

Research

	Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics Aditya Ganapathi, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Daniel Seita, Jennifer Grannen, Minho Hwang, Ryan Hoque, Joseph E. Gonzalez, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg Preprint, 2020. [website] [pdf]
	Untangling Dense Knots by Learning Task-Relevant Keypoints Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Jeffrey Ichnowski, Ashwin Balakrishna, Minho Hwang, Vainavi Viswanath, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg Conference on Robot Learning (CoRL), 2020. Oral Presentation [website] [pdf]
	Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Michael Laskey, Kevin Stone, Joseph E. Gonzalez, Ken Goldberg IEEE International Conference on Robotics and Automation (ICRA), 2020. [website] [pdf]

Teaching & Outreach

	CS 188 (Artificial Intelligence) Undergraduate Student Instructor, CS188 Spring 2021 Undergraduate Student Instructor, CS188 Fall 2020
	Society of Women Engineers, SWE++ SWE++ Instructor, Outreach Lead
	Expanding Your Horizons Conference Workshop Leader, Undergraduate Mentor