Papers
9
Total Citations
91
H-Index
6
About
Merlin Morlock is a robotics researcher whose work sits at the intersection of flexible-link parallel robotics, advanced motion control, and human-robot interaction. Over nearly a decade of sustained inquiry, Morlock has made significant contributions to one of the field's most demanding challenges: achieving precise end-effector trajectory tracking in lightweight parallel manipulators where structural flexibilities introduce complex, hard-to-control oscillations. Beginning with foundational control concepts in 2015–2016, Morlock systematically advanced the state of the art through friction compensation, gain scheduling, nonlinear state estimation, and the elegant application of servo constraints to inverse robot modeling. His most-cited work (2020, 32 citations) demonstrated real-time trajectory tracking on a flexible parallel robot, a landmark result combining accurate dynamic modeling with practically deployable control. Subsequent research extended this to collision avoidance scenarios, reinforcing the safety-critical relevance of his methods. More recently, Morlock expanded into collaborative robotics, developing collision detection and contact force estimation schemes for 6-DOF cobots — work already accumulating strong early citations. Across his portfolio, Morlock's research reflects a coherent vision: making lightweight, energy-efficient robots safe, precise, and ready for real-world deployment alongside humans.
Research Focus
Key Achievements
Top Papers
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- 7Control concepts for a parallel manipulator with flexible links5 citations · 2016
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- 9Active damping control for an underactuated multibody system2 citations · 2015