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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.24457 |
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| _version_ | 1866914569804316672 |
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| author | Vicente-Martinez, Jorge Ramirez-Laboreo, Edgar |
| author_facet | Vicente-Martinez, Jorge Ramirez-Laboreo, Edgar |
| contents | This paper presents an optimal trajectory generation method for 3D overhead cranes by leveraging differential flatness. This framework enables the direct inclusion of complex physical and dynamic constraints, such as nonlinear friction and collision avoidance for both payload and rope. Our approach allows for aggressive movements by constraining payload swing only at the final point. A comparative simulation study validates our approach, demonstrating that neglecting dry friction leads to actuator saturation and collisions. The results show that friction modeling is a fundamental requirement for fast and safe crane trajectories. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_24457 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Flatness-based trajectory planning for 3D overhead cranes with friction compensation and collision avoidance Vicente-Martinez, Jorge Ramirez-Laboreo, Edgar Robotics Systems and Control This paper presents an optimal trajectory generation method for 3D overhead cranes by leveraging differential flatness. This framework enables the direct inclusion of complex physical and dynamic constraints, such as nonlinear friction and collision avoidance for both payload and rope. Our approach allows for aggressive movements by constraining payload swing only at the final point. A comparative simulation study validates our approach, demonstrating that neglecting dry friction leads to actuator saturation and collisions. The results show that friction modeling is a fundamental requirement for fast and safe crane trajectories. |
| title | Flatness-based trajectory planning for 3D overhead cranes with friction compensation and collision avoidance |
| topic | Robotics Systems and Control |
| url | https://arxiv.org/abs/2510.24457 |