Author: Mary Beth O’Leary | Department of Mechanical Engineering<\/p>\n
With the push of a button, months of hard work were about to be put to the test. Sixteen teams of engineers convened in a cavernous exhibit hall in Nagoya, Japan, for the 2017 Amazon Robotics Challenge. The robotic systems they built were tasked with removing items from bins and placing them into boxes. For graduate student Maria Bauza, who served as task-planning lead for the MIT-Princeton Team, the moment was particularly nerve-wracking.<\/p>\n
\u201cIt was super stressful when the competition started,\u201d recalls Bauza. \u201cYou just press play and the robot is autonomous. It\u2019s going to do whatever you code it for, but you have no control. If something is broken, then that\u2019s it.\u201d<\/p>\n
Robotics has been a major focus for Bauza since her undergraduate career. She studied mathematics and engineering physics at the Polytechnic University of Catalonia in Barcelona. During a year as a visiting student at MIT, Bauza was able to put her interest in computer science and artificial intelligence into practice. \u201cWhen I came to MIT for that year, I starting applying the tools I had learned in machine learning to real problems in robotics,\u201d she adds.<\/p>\n
Two creative undergraduate projects gave her even more practice in this area. In one project, she hacked the controller of a toy remote control car to make it drive in a straight line. In another, she developed a portable robot that could draw on the blackboard for teachers. The robot was given an image of Mona Lisa and, after going through an algorithm, it drew that image on the blackboard. \u201cThat was the first small success in my robotics career,\u201d says Bauza.<\/p>\n
After graduating with her bachelor\u2019s degree in 2016, she joined the Manipulation and Mechanisms Laboratory at MIT (known as MCube Lab) under Assistant Professor Alberto Rodriguez\u2019s guidance. \u201cMaria brings together experience in machine learning and a strong background in mathematics, computer science, and mechanics, which makes her a great candidate to grow into a leader in the fields of machine learning and robotics,\u201d says Rodriguez.<\/p>\n
For her PhD thesis, Bauza is developing machine-learning algorithms and software to improve how robots interact with the world. MCube\u2019s multidisciplinary team provides the support needed to pursue this goal.<\/p>\n
\u201cIn the end, machine learning can\u2019t work if you don\u2019t have good data,\u201d Bauza explains. \u201cGood data comes from good hardware, good sensors, good cameras \u2014 so in MCube we all collaborate to make sure the systems we build are powerful enough to be autonomous.\u201d<\/p>\n
To create these robust autonomous systems, Bauza has been exploring the notion of uncertainty when robots pick up, grasp, or push an object. \u201cIf the robot could touch the object, have a notion of tactile information, and be able to react to that information, it will have much more success,\u201d explains Bauza.<\/p>\n
Improving how robots interact with the world and reason to find the best possible outcome was crucial to the Amazon Robotics Challenge. Bauza built the code that helped the MIT-Princeton Team robot understand what object it was interacting with, and where to place that object. \u201cMaria was in charge of developing the software for high-level decision making,\u201d explains Rodriguez. \u201cShe did it without having prior experience in big robotic systems and it worked out fantastic.\u201d<\/p>\n
Bauza\u2019s mind was at ease within a few minutes of 2017 Amazon Robotics Challenge. \u201cAfter a few objects that you do well, you start to relax,\u201d she remembers. \u201cYou realize the system is working. By the end it was such a good feeling!\u201d<\/p>\n
Bauza and the rest of the MCube team walked away with first place in the \u201cstow task\u201d portion of the challenge. They will continue to work with Amazon on perfecting the technology they developed.<\/p>\n
While Bauza tackles the challenge of developing software to help robots interact with their environments, she has her own personal challenge to tackle: surviving winter in Boston. \u201cI\u2019m from the island of Menorca off the coast of Spain, so Boston winters have definitely been an adjustment,\u201d she adds. \u201cEvery year I buy warmer clothes. But I\u2019m really lucky to be here and be able to collaborate with Professor Rodriguez and the MCube team on developing smart robots that interact with their environment.\u201d<\/p>\n<\/div>\n
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