I'm a Ph.D. candidate in the Social Robotics Lab within the Department of Computer Science at Yale University.
My advisor is Brian Scassellati.

I'm interested in machine learning techniques applied to robotics, with a particular focus on reinforcement learning. I am exploring these in the context of human-robot collaboration, with the aim of developing robots that provide supportive behaviors to a person during a physical task. In this scenario, I am regarding the human as an agent in the system, and the robot as a learner that needs to adapt to both the task and the human agent.

This summer, I had a great time interning at Uber Advanced Technologies Group, in San Francisco. I worked on integrating temporal context into deep learning models for self-driving car perception.

Before coming to Yale, I completed a Master of Engineering from the University of Bristol. Take a look at my CV for more details.

Elena Corina Grigore
Call me Corina!
Yale University

Yale University

Yale School of Engineering & Applied Science

Yale Engineering

University of Bristol

University of Bristol

University of California, San Diego

University of California, San Diego

Research Interests

My passion in research is to apply machine learning techniques to the field of robotics in order to create autonomous robots capable of learning useful behaviors in dynamic environments. In order to achieve the wide array of functionalities we want robots to have in the future, we need to come up with dependable ways of applying learning techniques that make it possible for the robot to learn from both the people it interacts with and its environment.

From this standpoint, I am interested in leveraging machine learning techniques to learn high-level activities and predict features relevant to choosing appropriate supportive behaviors in human-robot collaboration. These activities and feature predictions can then be used for the robot to learn within a reinforcement learning framework what supportive actions it should take at key moments throughout the task. Applying such techniques to complex state and action spaces—motion capture system data and camera images at the low-level, and abstract states at the high-level—involves considerable challenges, especially when considering human-in-the-loop scenarios.

Publications

Here is a list of my publications, in reverse chronological order (14 - 1):

Teaching

As a graduate student at Yale, I have assisted in teaching the following courses:

Period Course Code Course Title Instructor Capacity
Fall 2015 CPSC 437/537 Mathematical Tools for Computer Science Dana Angluin Teaching Fellow
Spring 2015 CPSC 472/572 Intelligent Robotics Brian Scassellati Teaching Fellow
Fall 2014 CPSC 437/537 Mathematical Tools for Computer Science Dana Angluin Teaching Fellow
Spring 2014 CPSC 473/573 Intelligent Robotics Lab Brian Scassellati Teaching Fellow
Fall 2013 CPSC 472/572 Intelligent Robotics Lab Brian Scassellati Teaching Fellow

Other teaching and mentoring:

Outreach

Throughout my time at Yale, I have been involved with several outreach activities:

Skills

Programming Languages Software / IDEs Robotics Platforms

Personal

Contact Me

I am always happy to talk about research! Contact me at:

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