Russ Tedrake
Toyota Professor, Electrical Engineering and Computer Science, Mechanical Engineering, and Aeronautics and Astronautics
Studies dynamics and control of legged robots, humanoids, and dexterous manipulators, and develops the Drake toolbox for optimization-based robot design.
Russ Tedrake's lab at MIT works on legged locomotion & humanoids, manipulation & robot learning and learning theory & optimization. 38 papers since 2023, 23 at top venues, mostly ICRA and IROS. 6 PhD students. 136 alumni, most often to Toyota Research Institute and Amazon. Applications close .
At a glance
- papers, 2023–2026
- 10/ year
- at T1 venues
- 61%
- PhD students
- 6
- MS students
- 0
- alumni listed
- 136
Papers by yearfrom DBLP, 2023–2026
- 2 papers2026 · T1 1 · collecting
- 12 papers2025 · T1 7
- 14 papers2024 · T1 11
- 10 papers2023 · T1 4
T1 venuesOtherVenues: ICRA, IROS, CDC, ICLR, NeurIPS
Research focuspaper titles that use each topic's words
- Manipulation & robot learning13 papers
- Learning theory & optimization11 papers
- Legged locomotion & humanoids0 papers
- robot design0 papers
- legged robots0 papers
Paper list
From DBLP.
20262 papers
202512 papers
- Sci. Robotics"Data will solve robotics and automation: True or false?": A debate (opens in a new tab)
- ICRA (T1)A New Semidefinite Relaxation for Linear and Piecewise-Affine Optimal Control with Time Scaling (opens in a new tab)
- Int. J. Robotics Res.Diffusion policy: Visuomotor policy learning via action diffusion (opens in a new tab)
- IROS (T1)Empirical Analysis of Sim-and-Real Cotraining of Diffusion Policies For Planar Pushing from Pixels (opens in a new tab)
- ICML (T1)History-Guided Video Diffusion (opens in a new tab)
- Int. J. Robotics Res.Non-Euclidean motion planning with graphs of geodesically convex sets (opens in a new tab)
- IEEE Robotics Autom. Lett.Planning Shorter Paths in Graphs of Convex Sets by Undistorting Parametrized Configuration Spaces (opens in a new tab)
- CDCPolytope Inner Approximations with Fewer Faces Subject to Minimum-Volume, Point-Inclusion, and Set-Intersection Constraints (opens in a new tab)
- ICRA (T1)Proximity and Visuotactile Point Cloud Fusion for Contact Patches in Extreme Deformation (opens in a new tab)
- IROS (T1)Sampling-Based Motion Planning with Discrete Configuration-Space Symmetries (opens in a new tab)
- IROS (T1)Scalable Real2Sim: Physics-Aware Asset Generation Via Robotic Pick-and-Place Setups (opens in a new tab)
- ICLR (T1)Should VLMs be Pre-trained with Image Data? (opens in a new tab)
202414 papers
- ICRA (T1)Approximating Robot Configuration Spaces with few Convex Sets using Clique Covers of Visibility Graphs (opens in a new tab)
- Int. J. Robotics Res.Certified polyhedral decompositions of collision-free configuration space (opens in a new tab)
- ICRA (T1)Certifying Bimanual RRT Motion Plans in a Second (opens in a new tab)
- ICRA (T1)Constrained Bimanual Planning with Analytic Inverse Kinematics (opens in a new tab)
- NeurIPS (T1)Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion (opens in a new tab)
- IEEE Trans. RoboticsFast Path Planning Through Large Collections of Safe Boxes (opens in a new tab)
- ICML (T1)Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation (opens in a new tab)
- CoRL (T1)OpenVLA: An Open-Source Vision-Language-Action Model (opens in a new tab)
- RSS (T1)PoCo: Policy Composition from and for Heterogeneous Robot Learning (opens in a new tab)
- ICLR (T1)Robot Fleet Learning via Policy Merging (opens in a new tab)
- SIAM J. Optim.Shortest Paths in Graphs of Convex Sets (opens in a new tab)
- RSS (T1)Towards Tight Convex Relaxations for Contact-Rich Manipulation (opens in a new tab)
202310 papers
- IEEE Robotics Autom. Lett.Approximate Optimal Controller Synthesis for Cart-Poles and Quadrotors via Sums-of-Squares (opens in a new tab)
- L4DCCan Direct Latent Model Learning Solve Linear Quadratic Gaussian Control? (opens in a new tab)
- ICLR (T1)Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision? (opens in a new tab)
- CoRL (T1)Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching (opens in a new tab)
- IEEE Trans. RoboticsGlobal Planning for Contact-Rich Manipulation via Local Smoothing of Quasi-Dynamic Contact Models (opens in a new tab)
- Sci. RoboticsMotion planning around obstacles with convex optimization (opens in a new tab)
- NeurIPS (T1)Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior (opens in a new tab)
- NeurIPS (T1)Smoothed Online Learning for Prediction in Piecewise Affine Systems (opens in a new tab)
- CDCSynthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear Systems via Sums-of-Squares Optimization (opens in a new tab)
- CDCToward Understanding State Representation Learning in MuZero: A Case Study in Linear Quadratic Gaussian Control (opens in a new tab)
Where alumni went136 listed, 57% to industry
Industry 21Academia 16
Most often to
- Toyota Research Institute
- Amazon
Also to
- Carnegie Mellon University
- MIT
- Princeton University
Apply to MITFall 2027
MIT EECS Computer Science PhD
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- Single round
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- See program page
- English
- TOEFL/IELTS
- Fee
- USD 90
Confirmed on the program page.
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