Most commercial robotic arms perform what roboticists call pick and place tasks: The arm picks up an object in one location and places it in another. General-purpose household robots, however, would have to be able to manipulate objects of any shape, left in any location. And today, commercially available robots dont have anything like the dexterity of the human hand.
At this years IEEE International Conference on Robotics and Automation, the premier robotics conference, students in the Learning and Intelligent Systems Group at MITs Computer Science and Artificial Intelligence Laboratory will present a pair of papers showing how household robots could use a little lateral thinking to compensate for their physical shortcomings.
Here we see MIT senior Annie Holladay demonstrate and describe how her algorithm helps the robot adapt by using both of its arms instead of just one.
At this years IEEE International Conference on Robotics and Automation, the premier robotics conference, students in the Learning and Intelligent Systems Group at MITs Computer Science and Artificial Intelligence Laboratory will present a pair of papers showing how household robots could use a little lateral thinking to compensate for their physical shortcomings.
Here we see MIT senior Annie Holladay demonstrate and describe how her algorithm helps the robot adapt by using both of its arms instead of just one.
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