Articles worth reading
New Robots Can See into Their Future

New Robots Can See into Their Future

access_time December 18, 2017

Now Robots Can Analise What’s in Store for Them In Future However creepy it may sound but scientists have done

Sites Like Humble Bundle for Best Deals

Sites Like Humble Bundle for Best Deals

access_time September 2, 2021

The Humble Bundle is a well-known website or online store for gaming, where you will find unique games at affordable

MacOS Big Sur: Apple Introduces Beautiful New Design

MacOS Big Sur: Apple Introduces Beautiful New Design

access_time June 26, 2020

Come WWDC 2020, Apple started on it’s project of overhauling the Mac. A part of that overhauling has to do

Blog

New Robot Rolls with the Rules of Pedestrian Conduct

New Robot Rolls with the Rules of Pedestrian Conduct

access_time July 29, 2017 remove_red_eye 3815 views

 

Robot rolls with the rules of pedestrian conduct

In the same way that drivers follow the traffic code, most pedestrians follow certain social codes when it comes to moving through a crowded public thoroughfare: staying on the right, overtaking on the left, maintaining a respectable distance, and be prepared to deviate or change trajectory in order to avoid obstacles, while maintaining a steady pace of progress.

Now, engineers at the Massachusetts Institute of Technology (MIT) in Cambridge, United States, have designed an autonomous robot with “socially conscious navigation” that can travel between pedestrians while respecting the general codes of conduct of the pedestrians The system of locomotive behavior used in this robot could allow other robots to move through hospitals, shopping malls and other areas with a lot of pedestrian traffic.

In tests carried out at MIT facilities, the robot was able to avoid collisions while maintaining adequate speed in its advance, in line with the average pedestrian flow.

The investigation is the work of Yu Fan team “Steven” Chen, Michael Everett, Miao Liu and Jonathan How.

For a robot to be able to move autonomously through an environment with a lot of pedestrian or vehicle traffic, it must solve four main challenges: location (knowing exactly where it is located), perception (recognizing its surroundings), movement planning optimum to a given destination) and control (physically perform the desired path).

For perception, Chen and his colleagues equipped the robot with sensors already available, such as webcams, a depth sensor and a high resolution LIDAR sensor. For localization, they used open-source algorithms in order to map the robot environment and determine its position. To control it, they used models already used for autonomous land vehicles.

folder_openAssigned tags
content_copyCategorized under