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

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      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.
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      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).
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      Schulze, L. (2022). Stochastic Model Predictive Control for Dynamic Locomotion of Legged Robots, Master Thesis.
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      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).
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      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.
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      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).
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      Schulze, L. (2019). Off-line Model-Based Predictive Control aplicado a Sistemas Robóticos, Bachelor Thesis.
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      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).