Peter Werner
Graduate Research Assistant
Cambridge, Massachusetts, United States
Summary
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Rockstar🎓
Top SchoolPeter Werner is a fourth-year PhD candidate at MIT CSAIL specializing in robotics, control, and learning, with five years of research experience spanning ETH Zürich, UPenn, Toyota Research Institute, and MIT. His work blends model-based control, deep reinforcement learning, and data-driven residual dynamics to advance mobile manipulation and legged/aerial systems, informed by hands-on projects like teaching ANYmal badminton and swing-up control for tactile cart-pole. Comfortable moving between theory and implementation, he has applied MPC, trajectory optimization, and optimization-based compensation in real robotic platforms. Based in Cambridge, MA, he brings a cross-disciplinary background in mechanical engineering and robotics systems that often uncovers practical failure modes other researchers miss.
5 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Electrical Engineering and Computer Science, Doctor of Philosophy - PhD Electrical Engineering and Computer Science at Massachusetts Institute of TechnologyRobotics Systems and Control MSc, Robotics Systems and Control MSc at ETH ZürichExchange Semester Mechatronics Robotics and Automation Engineering, Exchange Semester Mechatronics Robotics and Automation Engineering at University of Pennsylvania
English, German, French
Github Skills (17)
robotics10
verification10
drake10
crossword9
nonlinear9
planning8
entropy8
dynamical-systems8
structural-engineering8
toolbox8
electrical-engineering7
nonlinear-dynamics7
pybullet6
manipulation6
python5
Programming languages (4)
Github contributions (5)
mlab-upenn/mpcc
Jun 2020 - Sep 2020
Contributions:91 commits, 2 pushes, 1 branch in 2 months
wernerpe/rsl_rl
Nov 2021 - Mar 2023
Fast and simple implementation of RL algorithms, designed to run fully on GPU.
Contributions:1 PR, 55 pushes, 7 branches in 1 year 4 months
pytorchcppdeep-learninggpureinforcement-learning
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