Tobias Marauli
Papers
5
Total Citations
43
H-Index
3
About
Tobias Marauli is a rising figure in robotics whose work tackles fundamental challenges in robot motion planning and control. His primary research areas include cuspidal robots, time-optimal path following, and trajectory generation on Lie groups. Marauli’s most significant contribution lies in his deep analysis of 6R cuspidal serial robots—mechanisms that can switch between inverse kinematic solutions without crossing singularities. His 2024 paper on this topic, with 27 citations, provides critical guidelines for path planning and cuspidality decision-making, addressing a property overlooked for decades. He has also advanced time-optimal path following for non-redundant serial manipulators, introducing an adaptive path-discretization method that improves upon traditional equidistant sampling. Additionally, his work on smooth invariant interpolation on Lie groups offers elegant solutions for rigid body motion planning and soft robot modeling. Marauli’s research on time-optimal trajectory planning for redundantly actuated parallel robots with series elastic actuators further demonstrates his versatility. With a growing citation record and publications in international venues, Marauli is establishing himself as a thoughtful contributor to kinematic theory and practical robot control, making his work essential reading for students and researchers interested in the intersection of geometry, dynamics, and optimization in robotics.
Research Focus
Key Achievements
Top Papers
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