Adam Wei

Adam Wei

EECS Ph.D. Candidate

MIT

Biography

I am a Ph.D. student at MIT advised by Prof. Russ Tedrake. Broadly speaking, my research interests are in robotics, manipulation, imitation learning, and controls. I am currently interested in how simulated data can be used to scale robot learning.

I completed my undergraduate degree at the University of Toronto where I worked with Prof. Andreas Moshovos. I also spent a formative summer at the University of Pennsylvania where I was advised by Prof. Michael Posa.

I am grateful to be funded by the NSF Graduate Research Fellowship and the NSERC Postgraduate Scholarship (Doctoral).

Interests
  • Robotics
  • Imitation Learning
  • Simulation
  • Controls
Education
  • EECS Ph.D. Candidate, 2023-Present

    MIT

  • B.Eng in Electrical Engineering, 2023

    University of Toronto

  • IB Diploma, 2019

    Colonel By Secondary School

Publications

(2025). Empirical Analysis of Sim-and-Real Cotraining Of Diffusion Policies For Planar Pushing from Pixels. IROS 2025 Submission.

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(2024). Consensus Complementarity Control for Multicontact MPC. IEEE Transactions on Robotics.

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(2022). Framework and Software for Real-Time Multi-Contact Model Predictive Control. RSS Workshop.

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