SHEN LI
Biography
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I am a PhD student at MIT, advised by Prof. Julie Shah. I am working in the Interactive Robotics Group. My research goal is to enable robots to intelligently manipulate deformable objects and collaborate with humans.

Previously, I obtained my M.S. degree in Robotics at the Robotics Institute, CMU. I was a research assistant in the Personal Robotics Lab (now at UW), co-advised by Prof. Siddhartha Srinivasa and Prof. Stephanie Rosenthal. I also worked with Prof. Katia Sycara in summer 2017. I obtained my B.S. degrees in Computer Science and Psychology from Penn State.

Publications
Peer-Reviewed Journal Articles

  1. Ankit Shah, Pritish Kamath, Shen Li, Patrick Craven, Kevin Landers, Kevin Oden, and Julie Shah. Supervised Bayesian Specification Inference from Demonstrations. IJRR. 2019.


  • (In review)
    1. Rosario Scalise*, Shen Li*, Henny Admoni, Stephanie Rosenthal, and Siddhartha Srinivasa. Natural Language Instructions for Human-Robot Collaborative Manipulation. IJRR. 2018.

    Peer-Reviewed Conference Papers

    1. Shen Li*, Vaibhav Unhelkar*, and Julie Shah. Decision-Making for Bidirectional Communication in Sequential Human-Robot Collaborative Tasks. HRI. 2020. (23.6%).

    1. Ankit Shah, Shen Li, and Julie Shah. Planning With Uncertain Specifications (PUnS). RA-L & ICRA. 2020.

    1. Shen Li*, Vaibhav Unhelkar*, and Julie Shah. Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration. CoRL. 2019. (Oral presentation, 5% oral acceptance rate).

    1. Shen Li, and Julie Shah. Safe and Efficient High Dimensional Motion Planning in Space-Time with Time Parameterized Prediction. ICRA. 2019.


  • PDF
    1. Tariq Iqbal, Shen Li, Christopher Fourie, Bradley Hayes, and Julie Shah. Fast Online Segmentation of Activities from Partial Trajectories. ICRA. 2019.

    1. Ankit J. Shah, Pritish Kamath, Shen Li, and Julie A. Shah. Bayesian Inference of Temporal Task Specifications from Demonstrations. NeurIPS. 2018.

    1. Changjoo Nam, Huao Li, Shen Li, Michael Lewis, and Katia Sycara. Trust of Humans in Supervisory Control of Swarm Robots with Varied Levels of Autonomy. SMC. 2018.


  • PDF
    1. Shen Li*, Rosario Scalise*, Henny Admoni, Stephanie Rosenthal, and Siddhartha Srinivasa. Evaluating Critical Points in Trajectories. RO-MAN. 2017.


  • PDF
    1. Shen Li*, Rosario Scalise*, Henny Admoni, Stephanie Rosenthal, and Siddhartha Srinivasa. Spatial References and Perspective in Natural Language Instructions for Collaborative Manipulation. RO-MAN. 2016.

    Workshop Papers

    1. Shen Li*, Rosario Scalise*, Henny Admoni, Stephanie Rosenthal, and Siddhartha Srinivasa. Perspective in Natural Language Instructions for Collaborative Manipulation. R:SS Workshop on Model Learning for Human-Robot Communication. 2016.

    Thesis

    1. Shen Li. Automatically Evaluating and Generating Clear Robot Explanations. Master's thesis. Carnegie Mellon University. 2017.

    * Both authors contributed equally

    Media Publicity
    1. ZDNet: MIT work raises a question: Can robots be teammates with humans rather than slaves? (04/21/20)

    2. MIT News: Showing robots how to do your chores - By observing humans, robots learn to perform complex tasks, such as setting a table. (03/05/20)

    3. PBS NewsHour: The robots are coming. Will they work with us? (12/18)

    4. IEEE - The Institute page: IEEE Members Build Robots to Help People with Disabilities Live Independently (06/17)

    5. Y-combinator: Why Did the Robot Do That? Increasing Trust in Autonomous Robots (12/16)

    Robots
    myrobot_reddragon

    We built "Red Dragon" for Trinity College Fire Fighting Home Robot Contest at Penn State!

    robbie_yuri

    I am working on "Robbie & Yuri" at MIT!

    herb

    I worked on "Herb" (Home Exploring Robotic Butler) at CMU!

    abbie

    I am working on "Abbie" at MIT!

    Contact

    Building 31, Floor 2M, 70 Vassar St, Cambridge, MA 02142

    +1 (814) 777 7988

    shenli@mit.edu

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    © Shen Li 2020
    (Design & CSS courtesy: Kevin Smith, Rui Zhu, and Academic theme for Hugo)