Shivam Vats

Postdoctoral Researcher, Brown University

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I am a Postdoctoral Research Associate at the Intelligent Robot Lab led by Prof. George Konidaris in the Department of Computer Science, Brown University. I earned my PhD from the Robotics Institute at CMU where I was co-advised by Prof. Maxim Likhachev and Prof. Oliver Kroemer. I am interested in building continually improving robots that can plan to solve complex tasks, like “assemble my coffee table”, and plan to learn new motor skills when their capabilities are insufficient, like fastening an unseen square screw. This ASME article provides a good overview of my work on robots that plan to learn.

Previously, I studied maths and computing at Indian Institute of Technology (IIT) Kharagpur where I worked with Prof. P.P. Chakrabarti and Prof. Bibhas Adhikari on heuristic search and simplicial complexes. I was a core developer of SymPy and an active contributor to SymEngine for many years. I also regularly participated in the Intelligent Ground Vehicle Competition as a member of the Autonomous Ground Vehicle Group.

I am looking for new collaborations and am always happy to chat about robotics and research. Do reach out if you are interested in working with me, especially if you are a student at Brown. Here are some of my ongoing projects:

  • learning composable motor skills from videos
  • multi-robot motion planning using diffusion models
  • recovery from failures using large vision-language models
  • interactive learning in human-robot teams

Email / Google Scholar / LinkedIn

news

Jul 28, 2024 Invited talks at IISc and IIT Madras.
May 23, 2024 I defended my thesis on Plan to Learn: Active Robot Learning by Planning
Feb 23, 2024 Invited talk on Planning What to Learn at the Georgia Tech RoboGrads Seminar (slides).
Nov 5, 2023 Presented SCALE at CoRL, 2023 in Atlanta.
Nov 4, 2022 Invited talk at Prof. George Konidaris’ group at Brown.
Nov 1, 2022 Invited talk at Prof. Lerrel Pinto’s group at NYU.
May 27, 2022 I was a finalist for the outstanding HRI paper award in ICRA.

selected publications

  1. 2024_diffusion.gif
    Multi-Robot Motion Planning with Diffusion Models
    Yorai Shaoul*, Itamar Mishani*, Shivam Vats*, Jiaoyang Li, and Maxim Likhachev
    arXiv preprint arXiv:2410.03072, 2024
  2. 2023_icra.jpeg
    Efficient Recovery Learning using Model Predictive Meta-Reasoning
    Shivam Vats, Maxim Likhachev, and Oliver Kroemer
    In 2023 IEEE International Conference on Robotics and Automation (ICRA), 2023
  3. 2022_icra_adl.png
    Synergistic scheduling of learning and allocation of tasks in human-robot teams
    Shivam Vats, Oliver Kroemer, and Maxim Likhachev
    In 2022 International Conference on Robotics and Automation (ICRA), 2022
    Finalist for the Outstanding Paper Award in Human-Robot Interaction
  4. 2017_peerj.png
    SymPy: symbolic computing in Python
    Aaron Meurer, and  others
    PeerJ Computer Science, 2017