About

I’m a Ph.D. student at the University of Washington where I work on robotics and artificial intelligence research as part of the Human Centered Robotics Lab. My advisor is Maya Cakmak and my research interests include robotics, computer vision, machine learning, and human-robot interaction. I’m particularly interested in studying foundation models for robotics, human-in-the-loop robot learning, and reinforcement learning.

Previously, I was a software engineer at Amazon where I worked on computer vision for autonomous drone delivery and a cashierless grocery store.

Publications

• Teaching Robots with Show and Tell: Using Foundation Models to Synthesize Robot Policies from Language and Visual Demonstrations

  Michael Murray, Abhishek Gupta, Maya Cakmak.
  Conference on Robot Learning (CoRL), 2024.
  paper website

• Diffusion-PbD: Generalizable Robot Programming by Demonstration with Diffusion Features

  Michael Murray, Entong Su, Maya Cakmak.
  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.
  paper website poster

• Learning to Grasp in Clutter with Interactive Visual Failure Prediction

  Michael Murray, Abhishek Gupta, Maya Cakmak.
  IEEE International Conference on Robotics and Automation (ICRA), 2024.
  paper website

• Following Natural Language Instructions for Household Tasks with Landmark Guided Search and Reinforced Pose Adjustment

  Michael Murray, Maya Cakmak.
  IEEE Robotics and Automation Letters (RA-L), 2022.
  paper

• Learning Backchanneling Behaviors for a Social Robot via Data Augmentation from Human-Human Conversations

  Michael Murray, Nick Walker, Amal Nanavati, Patricia Alves-Oliveira, Nikita Filippov, Allison Sauppe, Bilge Mutlu, Maya Cakmak.
  Conference on Robot Learning (CoRL), 2021.
  paper code poster

• Vision-and-Dialog Navigation

  Jesse Thomason, Michael Murray, Maya Cakmak, Luke Zettlemoyer.
  Conference on Robot Learning (CoRL), 2019.
  paper code demo poster