Sidebar

  • Magazine
  • Events
  • Videos
  • Gallery
  • Blog
  • Gantry Home

Magazine menu

  • Home
  • News
    • China News
    • Religion
  • lifestyle
  • Tech
  • Financial
  • Military
  • Entertainment
  • Politics
  • Health
  • Sport
  • Environment
  • Opinion
  • Weather
  • Podcasts
  • Video
  • Ads
The Power of Truth®
Saturday, May 24, 2025
Saturday, May 24, 2025
  • Home
  • News
    • China News
    • Religion
  • lifestyle
  • Tech
  • Financial
  • Military
  • Entertainment
  • Politics
  • Health
  • Sport
  • Environment
  • Opinion
  • Weather
  • Podcasts
  • Video
  • Ads
  1. You are here:  
  2. Health

How risk-averse are humans when interacting with robots?

Details
Staff logo
11 July 2024
Health
  • Previous Article Uncovering late-onset combined immune deficiency in chromosome 18q deletion syndrome
  • Next Article Opening the right doors: 'Jumping gene' control mechanisms revealed
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.
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.

Read more https://www.sciencedaily.com/releases/2024/07/240711111530.htm

  • Previous Article Uncovering late-onset combined immune deficiency in chromosome 18q deletion syndrome
  • Next Article Opening the right doors: 'Jumping gene' control mechanisms revealed

HUNGRY FOR TRUTH?  FEED THE NEED.

The Power of Truth®
  • Cookies Policy
  • Privacy Policy
  • Terms of Use
  • Contact
Copyright © 2025 Joomla!. All Rights Reserved. Powered by The Power of Truth® - Designed by JoomlArt.com. Bootstrap is a front-end framework of Twitter, Inc. Code licensed under Apache License v2.0. Font Awesome font licensed under SIL OFL 1.1.