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Mastering physical contact with new algorithm for robots
A robotic arm balancing a tray in a lab.

The new algorithm allows the robotic arm to balance and move a waiter’s plastic tray, mastering control of a sliding object—a previously impossible task for robots.

(Image: DAIR Lab)

Mastering physical contact with new algorithm for robots

Penn Engineers have developed an algorithm that makes previously impossible tasks possible for autonomous robots, like controlling the motion of a sliding object.

Ian Scheffler

Acoustic signals for better wireless technologies
Charlie Johnson, Yue Jiang, and Vince Kerler.

Yue Jiang (center), a Ph.D. student in Charlie Johnson’s (left) lab in the School of Arts & Sciences, has led research hinting at a new way to control sound waves at frequencies in which phones and other wireless technologies operate. These findings could lead to better signal processing and improve technologies for both classical and quantum information systems.

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Acoustic signals for better wireless technologies

Researchers push the limits of sound wave control, unlocking the potential for faster, clearer wireless communication and quantum information processing technologies.