利用路径跟踪和 IMPM 模拟支持滑动和旋转的光学触觉传感器

IF 4.6 2区 计算机科学 Q2 ROBOTICS IEEE Robotics and Automation Letters Pub Date : 2024-10-16 DOI:10.1109/LRA.2024.3481829
Zirong Shen;Yuhao Sun;Shixin Zhang;Zixi Chen;Heyi Sun;Fuchun Sun;Bin Fang
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引用次数: 0

摘要

光学触觉传感器能够以较低的成本获取高分辨率的触觉信息,因此被广泛应用于智能机器人操纵领域。然而,要在模拟光学触觉传感器时实现足够的真实感和多功能性是一项挑战。在这封信中,我们提出了一种模拟方法,并通过实验验证了其有效性。我们利用路径追踪进行图像渲染,在模拟紧迫场景时比基准方法实现了与真实数据更高的相似度。此外,我们还采用了改进的材料点法(IMPM)算法来模拟物体运动时物体与弹性体表面之间的相对静止,从而能够更准确地模拟滑动和旋转等复杂操作。
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Simulation of Optical Tactile Sensors Supporting Slip and Rotation Using Path Tracing and IMPM
Optical tactile sensors are extensively utilized in intelligent robot manipulation due to their ability to acquire high-resolution tactile information at a lower cost. However, achieving adequate reality and versatility in simulating optical tactile sensors is challenging. In this letter, we propose a simulation method and validate its effectiveness through experiments. We utilize path tracing for image rendering, achieving higher similarity to real data than the baseline method in simulating pressing scenarios. Additionally, we apply the improved Material Point Method(IMPM) algorithm to simulate the relative rest between the object and the elastomer surface when the object is in motion, enabling more accurate simulation of complex manipulations such as slip and rotation.
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来源期刊
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters Computer Science-Computer Science Applications
CiteScore
9.60
自引率
15.40%
发文量
1428
期刊介绍: The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.
期刊最新文献
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