Frederik Debrouwere
Papers
10
Total Citations
190
H-Index
6
About
Frederik Debrouwere is a robotics and biomechanics researcher whose work spans two distinct but complementary domains: optimal motion planning for robotic manipulators and human joint kinematics assessment. He is best known for his foundational contributions to time-optimal path following in robotics, where his most cited work (98 citations) introduced sequential convex programming to handle the convex-concave constraints that arise in real-world robotic applications — a significant advance beyond earlier methods limited to simplified constraint structures. Across a cluster of influential 2013–2016 publications, Debrouwere systematically extended this framework to address trajectory jerk constraints, Cartesian acceleration limits, inertial force constraints, collision avoidance via Lagrangian duality, path tube following, and counterweight synthesis, establishing a comprehensive toolkit for practical time-optimal robot motion. His 2015 work on the "waiter problem" further demonstrated elegant solutions to constrained point-to-point planning. More recently, Debrouwere pivoted toward accessible healthcare technology, co-developing a low-cost IMU-based method for estimating full knee joint kinematics (29 citations), democratizing diagnostics previously confined to expensive motion capture laboratories. His interdisciplinary output reflects a consistent drive to make sophisticated optimization techniques practically deployable across engineering and clinical settings.
Research Focus
Key Achievements
Top Papers
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- 8Time-optimal tube following for robotic manipulators3 citations · 2014
- 9Optimal Tube Following for Robotic Manipulators2 citations · 2014
- 10Conterweight synthesis for time-optimal robotic path following2 citations · 2016