Vision-based robotic assembly is a crucial yet challenging task as the interaction with multiple objects requires high levels of precision. In this paper, we propose an integrated 6D robotic system to perceive, grasp, manipulate and assemble blocks with tight tolerances. Aiming to provide an off-the-shelf RGB-only solution, our system is built upon a monocular 6D object pose estimation network trained solely with synthetic images leveraging physically-based rendering. Subsequently, pose-guided 6D transformation along with collision-free assembly is proposed to construct any designed structure with arbitrary initial poses. Our novel 3-axis calibration operation further enhances the precision and robustness by disentangling 6D pose estimation and robotic assembly. Both quantitative and qualitative results demonstrate the effectiveness of our proposed 6D robotic assembly system.
翻译:视觉机器人组装是一项关键但具有挑战性的任务,因为与多个物体的互动要求高度精确。 在本文件中,我们提议建立一个6D综合机器人系统,以近距离感知、掌握、操作和组装各种隔板。为了提供现成的RGB专用解决方案,我们的系统建在一个单眼6D天体估计网络上,仅以利用物理成像的合成图像来进行训练。随后,建议与无碰撞的组装一起进行6D制导变形,以构建任何设计的结构,并具有任意的初始成份。我们的新颖的3轴校准操作通过6D成形和机器人组装拆,进一步提高了精确性和稳健性。定量和定性结果都表明了我们拟议的6D机器人组装系统的有效性。