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, Brazil, 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.

His research addresses open problems in robotics by combining control theory and machine learning, with a focus on legged robots.

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.; Negri, J.D.; Barasuol, V.; Medeiros, V.S.; Becker, M.; Peters, J.; Arenz, O. (2026). Floating-Base Deep Lagrangian Networks, IEEE International Conference on Robotics and Automation (ICRA).
3. •       Bib
     Schulze, L.; Peters, J.; Arenz, O. (2025). Context-Aware Deep Lagrangian Networks for Model Predictive Control, 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
4. •       Bib
     Turrisi, G.; Schulze, L.; Medeiros, V.S.; Semini, C.; Barasuol, V. (2024). PACC: A Passive-Arm Approach for High-Payload Collaborative Carrying with Quadruped Robots Using Model Predictive Control, 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
5. •     Bib
     Schulze, L. (2022). Stochastic Model Predictive Control for Dynamic Locomotion of Legged Robots, Master Thesis.
6. •       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).
7. •     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.
8. •       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).
9. •     Bib
     Schulze, L. (2019). Off-line Model-Based Predictive Control aplicado a Sistemas Robóticos, Bachelor Thesis.
10. •       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).