AI News, Teaching Robots To Interact Better With Humans

Teaching Robots To Interact Better With Humans

The 6th annual ACM/IEEE Conference on Human-Robot Interaction just ended in Switzerland this week, and Georgia Tech is excited to share three of their presentations showcasing the latest research in how humans and robots relate to each other.

Georgia Tech is using their robot, Simon, to not just try to interact with humans in the same ways that humans interact with each other, but also to figure out how to tell when a human is directing one of these abstract social conventions at the robot.

It's a tough thing, because natural interaction with other humans is deceptively subtle, meaning that Simon needs to be able to pick up on abstract cues in order to minimize that feeling of needing to talk to a robot like it's a robot, i.e.

As robots spend more time in close proximity to humans helping out with tasks that involve touch, it's important that we don't start to get creeped out or scared.

Georgia Tech's research reveals that what humans perceive a robot's intent to be is important, which is a little weird considering that intent (or at least, perceived intent) is more of a human thing.

The angle Georgia Tech is taking here is to first try and figure out how to quantify what 'human-like' means, in order to better determine what movements are more 'human-like' and what movements are less 'human-like.'

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