Lucas Schulze

Lucas Schulze joined the Intelligent Autonomous System lab on February, 1st, 2024 as a PhD student. He studied Electrical Engineering at the Universidade do Estado de Santa Catarina, where he received his Bsc and Msc. His Bachelor's and Master's theses were focused on predictive control applied to robotic systems.

Before his Ph.D., he worked as a Research Fellow with hydraulic quadruped robots at the Dynamic Legged Systems (DLS) lab of the Istituto Italiano di Tecnologia.

He is interested in approaches combining optimal control and machine learning.

Key References

1. •     Bib
     Schulze, L.; Bertol, D.W.; Raffo, G.V. (2022). Fast computation of binary search tree for PWA functions representation using intersection classification, Automatica, 141, pp.110217.
2. •     Bib
     Schulze, L. (2022). Stochastic Model Predictive Control for Dynamic Locomotion of Legged Robots, Master Thesis.
3. •     Bib
     Schulze, L.; Bertol, D.W.; Sebem, R. (2021). Conventional and Explicit MPC Applied to Robotic Systems: a Computational Cost Evaluation, 29th Mediterranean Conference on Control and Automation (MED).
4. •     Bib
     Dobrikopf, A.G.; Schulze, L.; Bertol, D.W.; Barasuol, V. (2022). MPC-Based Reference Governor Control for Self-Righting of Quadruped Robots: Preliminary Results, 2022 Latin American Robotics Symposium (LARS), 2022 Brazilian Symposium on Robotics (SBR), and 2022 Workshop on Robotics in Education (WRE), IEEE.
5. •     Bib
     Schulze, L.; Sebem, R.; Bertol, D.W. (2021). Performance of PSO and GWO Algorithms Applied in Text-Independent Speaker Identification, XV Brazilian Congress on Computational Intelligence (CBIC).
6. •     Bib
     Schulze, L. (2019). Off-line Model-Based Predictive Control aplicado a Sistemas Robóticos, Bachelor Thesis.
7. •   Bib
     Schulze, L.; Ijuim, F.; Dezuo; T.J.M. (2019). Controle LFR Discreto de Quadrirotores usando o Framework ROS, 14th Brazilian Symposium on Intelligent Automation (SBAI).