Quentin Docquier

Papers

Total Citations

H-Index

About

Quentin Docquier is a researcher at the forefront of robotics and optimal control, specializing in the intersection of multibody dynamics and real-time automation. His work addresses a critical challenge in modern mechatronics: implementing computationally intensive control strategies on industrial hardware. Docquier’s most cited paper, “Comparison and Analysis of Multibody Dynamics Formalisms for Solving Optimal Control Problem” (2019, 9 citations), systematically evaluates different modeling approaches to enhance the efficiency of trajectory optimization—a foundational contribution for high-speed robotic systems. Building on this, his 2023 study on “Model Predictive Control of a Highly Dynamic Parallel SCARA Robot” tackles the open challenge of deploying nonlinear model predictive control (NL-MPC) in unstructured, dynamic environments. By demonstrating deterministic real-time control on standard industrial automation platforms, Docquier bridges the gap between advanced theoretical frameworks and practical deployment. His work is particularly impactful for applications requiring rapid, adaptive responses, such as pick-and-place operations and collaborative robotics. With a focused trajectory of innovation, Docquier continues to push the boundaries of what is achievable with online optimization in real-world mechatronic systems.