Michael Lutter
Robotics & AI Research @ Boston Dynamics - Manipulation | Reinforcement Learning | Physics Simulation
- Role
- Manager Atlas Dexterous Manipulation at Boston Dynamics
- Location
- Cambridge, MA, US
- LinkedIn followers
- 500 followers
About Michael Lutter
Experienced research scientist working on robotics & AI for more than 8 years, including 3.5 years at Boston Dynamics. I currently lead the Atlas Dexterous Manipulation team at Boston Dynamics. We develop vision-based manipulation policies leveraging reinforcement learning and large-scale simulation.I am passionate about advancing robot learning and demonstrating that simulation can enable training robot foundation models. I am driven to show that sim-to-real can be as transformative for dexterous manipulation as it has been for whole-body control.Research Interests:Dexterous Manipulation | Reinforcement Learning | Large-Scale Simuation
Experience
Manager Atlas Dexterous Manipulation
Feb 2025 — Present · Cambridge, MA, US
I lead the Atlas Dexterous Manipulation team at Boston Dynamics. This team works on developing vision-based policies for dexterous manipulation with reinforcement learning and synthetic data. My team is responsible for showing that sim-2-real can be as successful for dexterous manipulation as it has been for whole-body control. Core Technologies:Reinforcement Learning | Large-Scale Simulation | Sim-2-Real Transfer | Tactile Sensing
Education
Technische Universität Darmstadt
Research Doctorate, Machine Learning & Robotics
Massachusetts Institute of Technology
Special Student, Electrical Engineering and Computer Science
2012 — 2013
University of Duisburg-Essen
Bachelor's Degree, Electrical Engineering/Computer Science and Management
2010 — 2014
Technical University of Munich
Master's Degree, Electrical Engineering and Computer Science
2014 — 2016
Skills
- Data Analysis
- Robotics
- Python
- Business Development
- Business Design
- Matlab
- Machine Learning
- Analysis
- Design Thinking
- Engineering Management
- Project Management
- C++
- Programming
- Statistics
- Manifold Learning
- Electrical Engineering
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