Dominic Reber is Head of Engineering based in Lausanne with five years of hands-on experience building robotics software that blends state-of-the-art learning and control algorithms with industrial robustness. He has moved from research roles at EPFL to product- and customer-facing engineering at AICA, writing drivers, custom applications, and leading projects at the intersection of automation and human-robot collaboration. Dominic’s background combines an ETH Zurich MS in Mechanical Engineering with practical fieldwork—from surgical-robotics research to on-site deployments and trade-fair demos—so he comfortably bridges academic rigor and real-world constraints. He’s equally at home tuning control loops as he is shaping a young startup’s engineering processes, and his early work on active learning for image processing hints at a persistent interest in making advanced ML tools accessible in applied robotics.
5 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Maschinenbau, Bachelor of Science - BS, Maschinenbau at Ecole polytechnique fédérale de Lausanne
Bachelor's degree, Maschinenbau, Bachelor's degree, Maschinenbau at The University of British Columbia
Master of Science - MS, Mechanical Engineering, Master of Science - MS, Mechanical Engineering at ETH Zürich
High School Diploma, Physics and Applied Mathematics, High School Diploma, Physics and Applied Mathematics at Gymnasium Neufeld
Modulo is an extension layer to ROS2 that adds interoperability support for aica-technology/control-libraries and provides a modular framework for application composition through custom component classes in both C++ and Python.
Contributions:11 releases, 115 reviews, 256 PRs in 2 years 3 months
A collection of library modules to facilitate the creation of full control loop algorithms, including state representation, motion planning, kinematics, dynamics and control.
Contributions:8 releases, 184 reviews, 193 PRs in 2 years 3 months
representationkinematicsmotionloopdynamics
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