H. Maurer

Papers

Total Citations

120

H-Index

About

H. Maurer is a leading figure in optimal control theory, with a focus on nonsmooth and real-time applications. His research centers on the analysis and numerical solution of optimal control problems, particularly those involving L1-minimization and multiprocess dynamics. Maurer’s most influential work, “On L1-minimization in optimal control and applications to robotics” (2006, 92 citations), provides a rigorous framework for problems where control variables appear linearly in the dynamics, bridging time-optimal control (p=0) and standard smooth problems (p>1). This contribution has been foundational for trajectory optimization in robotics and autonomous systems. In earlier work, “Second order sufficient conditions and sensitivity analysis for optimal multiprocess control problems” (2000, 16 citations), he derived second-order sufficient optimality conditions for complex, multi-stage control processes, enabling robust sensitivity analysis. Maurer also advanced real-time control with “Nonlinear Programming Methods for Real-Time Control of an Industrial Robot” (2000, 12 citations), demonstrating practical implementation of nonlinear programming for industrial robotics. His contributions are essential for researchers tackling nonsmooth optimal control, offering both theoretical depth and computational tools for high-impact applications in automation and robotics.