Soft compliant jaw tips are almost universally used with parallel-jaw robot grippers due to their ability to increase contact area and friction between the jaws and the object to be manipulated. However, interactions between the compliant surfaces and rigid objects are notoriously difficult to model. We introduce IPC-GraspSim, a novel simulator using Incremental Potential Contact (IPC) - a deformation model developed in 2020 for computer graphics - that models both the dynamics and the deformation of compliant jaw tips during grasping. IPC-GraspSim is evaluated using a set of 2,000 physical grasps across 16 adversarial objects where standard analytic models perform poorly. In comparison to both analytic quasistatic contact models (soft point contact, REACH, 6DFC) and dynamic grasp simulators (Isaac Gym with FleX backend), results suggest that IPC-GraspSim more accurately models real-world grasps, increasing F1 score by 9%. All data, code, videos, and supplementary material are available at https://sites.google.com/berkeley.edu/ipcgraspsim.
翻译:由于能够增加接触区,并增加下巴与需要操纵的物体之间的摩擦,软软服从的下巴提示几乎被普遍用于平行jaw机器人抓抓器。然而,兼容的表面和僵硬物体之间的相互作用很难建模。我们引入了IPC-GraspSim,这是一个使用递增潜在接触(IPC)的新颖模拟器(IPC),这是2020年为计算机图形开发的一种变形模型,该模型在捕捉时既能模拟动态,又能模拟不合规的下巴抓抓取。IPC-GraspSim使用一套在16个标准分析模型表现不佳的对立物体上2 000个物理抓抓取器进行评估。与分析半静接触模型(软点接触、REACH、6DFC)和动态抓取模拟器(Isaac Gym with FleX backend)相比,结果显示,IPC-GraspSimSimSimpeal 模型在现实世界捕捉捉摸中更精确,使F1得分增加9%。所有数据、代码、视频和补充材料都可在https://sitesitesesget.gole.gogle.com/berley.com/berley.