Categories: AI/ML News

How risk-averse are humans when interacting with robots?

How do people like to interact with robots when navigating a crowded environment? And what algorithms should roboticists use to program robots to interact with humans? These are the questions that a team of mechanical engineers and computer scientists sought to answer in a recent study.

Robots learning without us? New study cuts humans from early testing

Humans no longer have exclusive control over training social robots to interact effectively, thanks to a new study. The study introduces a new simulation method that lets researchers test their social robots without needing human participants, making research faster and scalable.

May 22, 2025

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How robots can regain the trust of humans after making mistakes

Humans are less forgiving of robots after multiple mistakes—and the trust is difficult to get back, according to a new University of Michigan study.

February 3, 2023

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A system that allows home robots to cook in collaboration with humans

Home robots could assist humans with the completion of various chores and manual tasks, ranging from washing dishes or doing the laundry to cooking, cleaning and tidying up. While many roboticists and computer scientists have tried to improve the skills of home robots in recent years, many of the robots…

March 16, 2024

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AI Generated Robotic Content