Sam Leroux
Papers
5
Total Citations
25
H-Index
3
About
Sam Leroux is a researcher at the forefront of cyber-physical systems, robotics, and artificial intelligence, with a focus on bridging the gap between cloud computing and autonomous physical agents. His most cited work, "Middleware Platform for Distributed Applications Incorporating Robots, Sensors and the Cloud" (2016, 14 citations), lays the foundation for the factory of the future by enabling seamless integration of cloud-hosted software with mobile robots and sensor networks—a critical contribution to agile, data-driven production. Leroux’s expertise extends to inverse reinforcement learning, where he introduced logic constraint inference (2023) to make robot learning more interpretable and robust. He has also made practical strides in agricultural robotics, developing and field-validating an autonomous soil mechanical resistance sensor (2025) to combat soil compaction, a pressing environmental challenge. In computer vision, his iterative online 3D reconstruction method (2022) advances real-time spatial understanding from RGB images, vital for autonomous navigation. With a career spanning foundational middleware, learning algorithms, and field-deployed sensors, Leroux’s work demonstrates a rare ability to move from theoretical innovation to real-world validation, earning him recognition as a versatile engineer shaping the next generation of intelligent, distributed robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Inverse reinforcement learning through logic constraint inference4 citations · 2023
- 3
- 4Iterative Online 3D Reconstruction from RGB Images2 citations · 2022
- 5