cv
Basics
| Name | David Ologan |
| ologandavid@gmail.com |
Work
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2022.08 - 2028.05 Graduate Research Assistant
Robomechanics Lab, Carnegie Mellon
- Maintainer of Quad-SDK, an widely adopted open-source, full-stack software framework for quadrupedal locomotion (900+ stars on Github).
- Developed and deployed learned locomotion and disentanglement policies for quadrupedal robots navigating dense compliant vegetation, improving robustness and recovery in contact rich natural terrain.
- Designed autonomous whole-body control frameworks for terrain-modifying robots (digging, excavation, plowing) that leverage terramechanics models of ground contact interaction during training, enabling stable and efficient execution across varying soil conditions.
- Developed multi-agent coordination algorithms for heterogeneous robotic teams enabling safe, real time operation near humans, obstacles and other agents.
Education
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2028.05 - 2024.05 Pittsburgh, PA
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2022.08 - 2024.05 Pittsburgh, PA
-
2018.05 - 2022.05 Cambridge, MA
Bachelors of Science
Massachusetts Institute of Technology
Electrical Engineering and Computer Science, Mechanical Engineering
Awards
- 2024.05
Skills
| Languages | |
| Python | |
| C/C++ | |
| MATLAB | |
| Julia | |
| Assembly | |
| CSS/HTML |
| Software | |
| ROS 1/2 | |
| IsaacSim/Lab | |
| Mujoco | |
| Gazebo | |
| Docker | |
| Tensorflow/Pytorch |
Interests
| Algorithms | ||||||
| Model Free Reinforcement Learning | ||||||
| Trajectory Optimization | ||||||
| Model Predictive Control | ||||||
| State Estimation | ||||||
| Legged Locomotion | ||||||