Thomas Laus

University of Applied Sciences Upper Austria

Papers

Total Citations

H-Index

About

Thomas Laus is a researcher in multibody dynamics, with a particular focus on the inverse dynamics of robotic systems. His work centers on the efficient formulation and solution of constrained mechanical systems, where he has made significant contributions to the treatment of holonomic constraints arising from both mechanical joints and prescribed motion trajectories. Laus is known for advancing coordinate partitioning methods, offering alternative approaches to eliminate dependent coordinates and solve the equations of motion for constrained multibody systems. His most-cited paper, "Inverse Dynamics of an Industrial Robot Using Motion Constraints" (2019, 7 citations), exemplifies this work by applying these theoretical frameworks to practical robotic applications. While his citation count is still growing, his research provides a foundational perspective on the intersection of constraint modeling and robot dynamics, offering valuable insights for students and engineers working on simulation, control, and design of industrial manipulators.