Robohub.org
 

Town for driverless cars being built in Michigan | MIT Technology Review


by
07 October 2014



share this:

“A mocked-up set of busy streets in Ann Arbor, Michigan, will provide the sternest test yet for self-driving cars. Complex intersections, confusing lane markings, and busy construction crews will be used to gauge the aptitude of the latest automotive sensors and driving algorithms; mechanical pedestrians will even leap into the road from between parked cars so researchers can see if they trip up onboard safety systems.”

Source: www.technologyreview.com

See on Scoop.itCultibotics




John Payne

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Robots in society, business and culture: July 2026

A round up of robotics stories in a new monthly series from IEEE RAS.

Simulated zebrafish and a vision-equipped robotic fish reveal how the body shapes brain circuits

Researchers look to the fish brain to create a robotic zebrafish that can autonomously swim upstream.

Researchers develop modular nanorobot

  31 Jul 2026
A team at the University of Basel has developed a versatile nanorobot with propulsion and payload modules.

Surviving the paper deluge: a one-year study in learning from demonstration

With the explosion of robotics research, staying current in fields like Learning from Demonstration is a monumental challenge.

Soft robotic heart offers new way to study disease and test life-saving devices

Researchers have developed a soft robotic model of the human heart that can mimic disease and provide a realistic environment for testing the next generation of cardiac devices.

A mini robot to simplify dental treatment

  24 Jul 2026
Researchers have developed a miniature dental robot that could one day automatically prepare teeth for crowns.

Pressure-free growing robots for soft medical robotics

A Q&A with the best paper award winner at RoboSoft.

Interactive world simulator for robot policy training and evaluation

  20 Jul 2026
Yixuan Wang discusses his faithful world simulator that allows robots to learn how to push, pick up, and grasp objects.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence