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Machines Like Us

Students reanimate robotic mine vehicles

Thursday, 02 June 2011

To sort this out, the course combined students from electrical and computer engineering, systems and industrial engineering, and aerospace and mechanical engineering -- teaming students in training to do everything from auto mechanics to software engineering to control systems fabrication.

"The next goal will be integrating a robot operating system and securing industry partnerships or research funding to fully exploit the research possibilities," Martinez said.

Poulton agrees. "When you have these kinds of test platforms, it's almost that the sky is the limit as far as what we can do with them now." Some mining companies already are using autonomous vehicles and the industry trend is in this direction, she added. Autonomous vehicles can work in remote areas or in underground mines where temperatures approach boiling and are too extreme for human workers.

Autonomous vehicles also are upgrading the skill set for mine workers. Instead of truck drivers, mining companies now need engineers who are familiar with autonomous systems. The two new autonomous vehicles built in ENGR 450/550 can give UA students that kind of experience.

It was a project that never would have happened without close industry support, first from Freeport-McMoRan, which donated the hardware, and then Tucson Embedded Systems (TES), which provided space and other resources. Autonomous Solutions Inc. also donated manuals for their software, and the college's Department of Systems and Industrial Engineering hired one of the company's partners to spend a couple of days in Tucson to get the students over some rough spots.

TES develops, designs and manufactures a variety of information technology software products for the aerospace, defense and commercial industries. The company specializes in systems design, development, integration and testing of hardware and software systems, and has worked closely with UA College of Engineering on projects in the past, such as the 2007 DARPA Urban Challenge, which called on engineering teams to build an autonomous vehicle that could drive itself through 60 miles of urban traffic.

In 2010, the TES-sponsored team won the best overall engineering design award at UA's annual Engineering Design Day competition. They built a robotic vehicle that could drive itself point-to-point using GPS navigation while avoiding obstacles. This year's senior design team extended that project by modifying the vehicle to deploy a series of sensors that measure temperature, humidity and sound. These sensors then were linked together in a network. The team also wrote network protocols to allow another group of students to communicate with and drive the robots, and built an android application to go on cell phones.

This application now can be applied to the full-size autonomous mine vehicles.