Articles worth reading
Top 5 Best Smart Air Conditioners of 2018

Top 5 Best Smart Air Conditioners of 2018

access_time June 18, 2018

Best Smart Air Conditioners of 2018 Summer is finally here and while it may spell a cool vacation, poolside parties

How Technology is Changing the Travel and Tourism Industry

How Technology is Changing the Travel and Tourism Industry

access_time July 8, 2018

Technology has placed a crucial role in the tourism and hospitality industry. It allowed the hospitality industry to offer better

Google Shows off Android P Gesture Navigation, Quickly Deletes Image

Google Shows off Android P Gesture Navigation, Quickly Deletes Image

access_time April 18, 2018

Could Android P have new Gesture Navigation? From the first navigation scheme to the present day, Google has always taken

Blog

New Robot Rolls with the Rules of Pedestrian Conduct

New Robot Rolls with the Rules of Pedestrian Conduct

access_time July 29, 2017 chat_bubble_outline 0 comments remove_red_eye 1033 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

No Comments

comment No comments yet

You can be first to leave a comment

Submit an answer

info_outline

Your data will be safe!

Your e-mail address will not be published. Also other data will not be shared with third person.

This site uses Akismet to reduce spam. Learn how your comment data is processed.