Damien Larocque is a robotics application engineer with nine years of hands-on experience in robot learning, mobile robotics, and embedded systems, currently working at Sereact in Stuttgart. He holds a Master’s in Computer Science (Robotics) from Université Laval and an Electrical Engineering degree from Université de Moncton, both earned with top GPA marks, and has a strong record of field robotics research including a peer‑reviewed IROS 2024 paper. Damien has deployed rovers in harsh boreal winter conditions, applied CNNs and the novel Mamba architecture to proprioceptive terrain classification, and integrated ROS/ROS2, DDS and Zenoh on mobile platforms. His background spans computer vision for autonomous competition robots, industrial deep‑learning integration, and practical embedded IoT work, giving him a rare blend of academic rigor and deployable system engineering. Notably, he brings both low‑level hardware familiarity and production-focused software skills, enabling rapid iteration from sensor data to reliable robotic behaviors.
9 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, cumulative GPA of 4.26/4.33, Master's degree, Computer Science, cumulative GPA of 4.26/4.33 at Université Laval
Bachelor of Engineering, Electrical Engineering, cumulative GPA of 4.22/4.3, Bachelor of Engineering, Electrical Engineering, cumulative GPA of 4.22/4.3 at Université de Moncton
A ROS-agnostic toolbox for common rosbag operations
Contributions:7 releases, 2 PRs, 42 pushes in 1 year 10 months
rosrosbagdatadata-managementpython
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