Passive Sensing Jaw for Grasping and Orienting

Alessandro Luchetti, M. Cecco, Matteo Perotto, P. Bosetti, D. Fontanelli, L. Palopoli, Fabiano Zenatti, Matteo Zanetti, Luca Maule, Mattia Tavernini
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Abstract

The goal of this work is to present an innovative design for a smart robotic gripper, which is able to grasp different randomly deployed prismatic and cylindrical packages and orient them through a mechanically passive alignment system with sensing capability. It consists in a new concept of end-effector combined with an ad-hoc path planning for aligning residual worst cases. The system uses gravity and an angular sensor embedded into the gripper to detect the object orientation and, if necessary, formulate a control strategy to align it before the release phase. An initial screening experiment was executed to find the parameters that most influence the alignment angle and execution time. Two worst-case pack ages were tested in different working conditions. The results show that the percentage of success of the system is high even in the worst operating conditions.
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用于抓取和定位的被动感应颚
这项工作的目标是提出一种智能机器人抓取器的创新设计,它能够抓取不同的随机部署的棱镜和圆柱形包装,并通过具有传感能力的机械被动对准系统对其进行定向。它包括一个新的末端执行器的概念,并结合了一个特殊的路径规划,以对准剩余最坏情况。该系统使用嵌入抓手的重力和角度传感器来检测物体的方向,如果有必要,在释放阶段之前制定控制策略来对齐物体。进行了初步筛选实验,找出了对对准角和执行时间影响最大的参数。在不同的工作条件下测试了两种最坏包装年龄。结果表明,即使在最恶劣的运行条件下,系统的成功率也很高。
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