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Rafal Szczepanski
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2020 – today
- 2024
- [j7]Mateusz Tejer
, Rafal Szczepanski
Robust and efficient task scheduling for robotics applications with reinforcement learning. Eng. Appl. Artif. Intell. 127(Part A): 107300 (2024) - [j6]Rafal Szczepanski
Optimal Path Planning Algorithm with Built-In Velocity Profiling for Collaborative Robot. Sensors 24(16): 5332 (2024) - [c3]Rafal Szczepanski, Faiza Gul:
Local Path Planning Algorithm Based On Artificial Potential Field With Adaptive Scaling Factor. MMAR 2024: 229-234 - 2023
- [j5]Tomasz Tarczewski, Djordje Stojic
Online auto-tuning of multiresonant current controller with nature-inspired optimization algorithms and disturbance in the loop approach. Appl. Soft Comput. 144: 110512 (2023) - [j4]Rafal Szczepanski
Safe Artificial Potential Field - Novel Local Path Planning Algorithm Maintaining Safe Distance From Obstacles. IEEE Robotics Autom. Lett. 8(8): 4823-4830 (2023) - 2022
- [j3]Rafal Szczepanski
Energy Efficient Local Path Planning Algorithm Based on Predictive Artificial Potential Field. IEEE Access 10: 39729-39742 (2022) - [j2]Rafal Szczepanski
Optimal scheduling for palletizing task using robotic arm and artificial bee colony algorithm. Eng. Appl. Artif. Intell. 113: 104976 (2022)
2010 – 2019
- 2019
- [j1]Rafal Szczepanski
Adaptive state feedback speed controller for PMSM based on Artificial Bee Colony algorithm. Appl. Soft Comput. 83 (2019) - 2018
- [c2]Rafal Szczepanski
Comparison of Constraint-handling Techniques Used in Artificial Bee Colony Algorithm for Auto-Tuning of State Feedback Speed Controller for PMSM. ICINCO (1) 2018: 279-286 - 2017
- [c1]Rafal Szczepanski
Accelerating PSO based feedrate optimization for NURBS toolpaths using parallel computation with OpenMP. MMAR 2017: 431-436
Coauthor Index
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last updated on 2024-10-11 17:25 CEST by the dblp team
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