Wannes Van Loock

KU Leuven

Papers

10

Total Citations

217

H-Index

6

About

Wannes Van Loock's research centers on time-optimal path following and motion planning for robotic systems, with a focus on achieving the fastest possible motion along predetermined paths while respecting complex physical constraints. His major contributions include developing convex optimization and sequential convex programming frameworks that transform challenging time-optimal control problems into tractable formulations, enabling robots to move faster without violating actuator, jerk, or Cartesian acceleration limits. His most influential work, "Time-Optimal Path Following for Robots With Convex–Concave Constraints Using Sequential Convex Programming" (98 citations), established a powerful method for handling non-convex constraints in robotic motion. Van Loock also pioneered the use of B-spline parameterization for guaranteed constraint satisfaction in differentially flat systems, and extended his framework to address collision avoidance with moving obstacles using Lagrangian duality. His work on optimal tube following introduced practical tolerance margins for faster execution, bridging theory and real-world application. With over 200 total citations across his publications, Van Loock's contributions have significantly advanced the field of optimal robot motion, providing foundational tools that enable safer, faster, and more efficient robotic operations in manufacturing, logistics, and autonomous systems.

Research Focus

Key Achievements

6
H-Index
10
Papers
217
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Time-Optimal Path Following for Robots With Convex–Concave Constraints Using Sequential Convex Programming
98 citations · 2013
📈 Most Prolific Year: 2013 (5 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: KU Leuven

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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