Dex-Net As A Service (Dnaas): A Cloud-Based Robust Robot Grasp Planning System

2018 IEEE 14TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE)(2018)

引用 13|浏览55
暂无评分
摘要
Accessing software resources via the Cloud has become increasingly popular as a means to configure and manage automation systems with reduced infrastructure overhead. Dex-Net as a Service (DNaaS) is a cloud-based grasp planning system for parallel-jaw grippers that provides a graphical user interface and API access to Dex-Net 1.0, a robust grasp planning system based on wrench mechanics and stochastic sampling. DNaaS allows anyone online to compute parallel-jaw grasps on triangular meshes and visualize the results. This paper presents system architecture, examples of generated grasps, and timing data for DNaaS. DNaaS takes under 75 seconds on average to process grasp requests. DNaaS is available at http://automation.berkeley.edu/dex-net.
更多
查看译文
关键词
parallel-jaw grasps,system architecture,grasp requests,Cloud-based robust robot grasp planning system,software resources,automation systems,Dex-Net as a Service,infrastructure overhead reduction,Dex-Net 1.0,wrench mechanics,stochastic sampling,API access,graphical user interface,parallel-jaw grippers,DNaaS,time 75.0 s
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要