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arXiv · 2508.04146

Industrial Robot Motion Planning with GPUs: Integration of cuRobo for Extended DOF Systems

Luai Abuelsamen·Harsh Rana·Ho-Wei Lu·Wenhan Tang·Swati Priyadarshini·Gabriel Gomes
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Abstract

Efficient motion planning remains a key challenge in industrial robotics, especially for multi-axis systems operating in complex environments. This paper addresses that challenge by integrating GPU-accelerated motion planning through NVIDIA's cuRobo library into Vention's modular automation platform. By leveraging accurate CAD-based digital twins and real-time parallel optimization, our system enables rapid trajectory generation and dynamic collision avoidance for pick-and-place tasks. We demonstrate this capability on robots equipped with additional degrees of freedom, including a 7th-axis gantry, and benchmark performance across various scenarios. The results show significant improvements in planning speed and robustness, highlighting the potential of GPU-based planning pipelines for scalable, adaptable deployment in modern industrial workflows.

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Luai Abuelsamen, Harsh Rana, Ho-Wei Lu, Wenhan Tang, Swati Priyadarshini, Gabriel Gomes. 2025-08-11. Industrial Robot Motion Planning with GPUs: Integration of cuRobo for Extended DOF Systems. https://arxiv.org/abs/2508.04146

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