Ruben Van Parys

Papers

Total Citations

208

H-Index

About

Ruben Van Parys is a leading researcher in the fields of distributed control, motion planning, and nonlinear model predictive control (MPC) for multi-vehicle systems. His most impactful work, "Distributed MPC for multi-vehicle systems moving in formation" (99 citations), introduces a decentralized control framework that enables fleets of autonomous vehicles to maintain complex formations while operating under local communication constraints—a critical advance for applications in drone swarms and autonomous convoys. Van Parys is also known for his pioneering integration of real-time optimization with safety-critical navigation. In "Embedded nonlinear model predictive control for obstacle avoidance using PANOC" (98 citations), he demonstrates how the proximal averaged Newton-type method (PANOC) can solve obstacle avoidance problems in milliseconds, even for nonconvex obstacles involving polytopes and ellipsoids. This work bridges the gap between theoretical optimal control and practical embedded systems. Additionally, his "Spline-Based Motion Planning in an Obstructed 3D Environment" (11 citations) offers an elegant approach to generating smooth, constraint-satisfying trajectories using B-spline parameterization, enabling efficient path planning in cluttered three-dimensional spaces. Van Parys’ contributions are foundational for the next generation of autonomous systems operating in dynamic, obstacle-rich environments.