arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2003.01776cs.RO

Towards Mobile Multi-Task Manipulation in a Confined and Integrated Environment with Irregular Objects

University of Massachusetts Lowell(马萨诸塞大学洛厄尔分校)

Zhao Han, Jordan Allspaw, Gregory LeMasurier, Jenna Parrillo, Daniel Giger, S. Reza Ahmadzadeh, Holly A. Yanco

英文摘要:

The FetchIt! Mobile Manipulation Challenge, held at the IEEE International Conference on Robots and Automation (ICRA) in May 2019, offered an environment with complex and integrated task sets, irregular objects, confined space, and machining, introducing new challenges in the mobile manipulation domain. Here we describe our efforts to address these challenges by demonstrating the assembly of a kit of mechanical parts in a caddy. In addition to implementation details, we examine the issues in this task set extensively, and we discuss our software architecture in the hope of providing a base for other researchers. To evaluate performance and consistency, we conducted 20 full runs, then examined failure cases with possible solutions. We conclude by identifying future research directions to address the open challenges.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑