Autonomous Robotic Exploration and Mapping of Smart Indoor EnvironmentsWith UWB-IoT Devices

TianyiWang1, Ke Huo1, Muzhi Han2, Daniel McArthur1, Ze An1,

David Cappeleri1, and Karthik Ramani13

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1School of Mechanical Engineering at Purdue University, US

fwang3259, khuo, dmcarth, an40, dcappell, ramanig@purdue.edu

2Department of Mechanical Engineering at Tsinghua University, China, muzhihan@foxmail.com

3School of Electrical and Computer Engineering at Purdue University, US (by Courtesy)

The Future of Intelligent Manufacturing

Nearly one half million unfilled manufacturing positions (Deloitt), low productivity and strong competition for new products are driving significant need for increasingly intelligent, agile, and collaborative manufacturing. Significant advanced manufacturing activities are underway across the world from global manufactures in a multiplicity of verticals including pharmaceuticals, medical products, automotive, aerospace, consumer goods, construction, power and hand tools, materials, and industrials. Intelligent machines are addressing an increasingly complex range of manufacturing tasks including product design, material handling, machine tending, assembly, packaging, and distribution. Intelligent systems can provide a range of potential benefits to include speed, flexibility, accuracy. The purpose of this Spring Symposium is to bring together leading experts from across diverse communities to craft a 10-year road map for AI in manufacturing.

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