Teguh Lembono
Machine Learning Engineer at Woven by Toyota
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolTeguh Lembono is a Machine Learning Engineer with a PhD from EPFL and nine years of experience applying ML, optimal control and motion planning to real-world robotics problems. He has driven research-to-production work at Amazon Robotics and Woven by Toyota, and previously developed fast motion planners and practical calibration methods for industrial robots during academic and industry roles across Singapore and Europe. His PhD work on the MEMMO project blended memory-based motion representations with real-time control for legged and humanoid robots, reflecting a rare mix of theoretical depth and systems integration. He is fluent across Python, C/C++, ROS and simulation stacks (Gazebo, PyBullet, OpenRAVE) and has repeatedly delivered solutions for drilling, welding and taping use cases. Beyond algorithms, he has hands-on experience in CAD-driven path planning and building GUIs for multi-robot control, showing an ability to bridge perception, planning and operator workflows. Based in Berlin, he combines academic rigor with practical engineering that shortens the gap between research prototypes and deployable robotic systems.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Engineering (BEng) Mechanical Engineering, Bachelor of Engineering (BEng) Mechanical Engineering at Nanyang Technological University SingaporeDoctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at EPFLMaster of Science (MSc) Mechanical Engineering, Master of Science (MSc) Mechanical Engineering at National University of Singapore
German, English, Indonesian, French
Github Skills (19)
motion-planning6
ros6
trajectory-optimization6
code-generation6
model-predictive-control6
robotics6
control-library5
robot-control5
algorithms4
conda4
python-bindings3
corba3
astar2
dynamics2
autonomous-robots2
Programming languages (3)
Github contributions (5)
teguhSL/memmo_for_trajopt_codes
Sep 2019 - Jun 2020
Contributions:8 commits, 7 pushes, 1 branch in 8 months
teguhSL/learning_distribution_gan
Oct 2020 - Jul 2022
Contributions:39 commits, 23 pushes, 3 branches in 1 year 9 months
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