Current Events 4

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"To address the shortage of workers, many companies are considering robots. However, reliably grasping a diverse range of products remains a Grand Challenge for robotics." The robot system used in e-commerce mainly have suction grippers which limit their range of objects they can grasp. The UC decided to create a ambidextrous solution to create varieties of gripper types. As the image above shows the robot being able to grab different things using both "arms". This allows the system to decide which gripper is better for the situation. They plan on creating a learning reward function using sensors and geometry of each gripper. Once tested the researchers concluded that reward functions for parallel-jaw gripper and suction cup arm on a robot cleared bins at a rate of 300 pick up per hour and 95% reliability. "When you are in a warehouse putting together packages for delivery, objects vary considerably," said Goldberg. "We need a variety of grippers to handle a variety of objects." Using these robots would help the shortage worker problem and create a more reliable percent of objects picked up and packaged. 





















SOURCE:
https://www.sciencedaily.com/releases/2019/01/190116140638.htm

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