Robots Can See, But CMU's New Glove Teaches Them to Feel

Robots are getting better at manipulating objects, but they still struggle with many tasks that are easy for humans. If these machines are going to be of much use in our world, they need to learn how to behave more like us. The problem is that we don’t have a great way to teach them how to do this.

Cameras can track motion, and motion-capture gloves can measure finger positions, but neither tells the whole story. When you pick up a screwdriver, turn a key, or open a jar, success depends not only on where your fingers are, but also on where and how they make contact with the object. Researchers at Carnegie Mellon University have developed a new glove designed to capture exactly that missing information.

An overview of the system (📷: C. Lin et al.)

Called ART-Glove, short for Articulated Tactile Glove, the system combines joint tracking...

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