Robots can be programmed by casually talking to it: Cornell University Study

Jun 24, 2014 17:34 IST

A new study at Cornell University demonstrated that robots can be programmed by causally talking with them. Till date, they needed specific instructions to conduct a particular task.

The study was conducted at Robot Learning Lab of Cornell University under Ashutosh Saxena, Assistant Professor  of Computer Science. At present, Saxena is involved in teaching the robots to understand instructions in natural language from different speakers, account for missing information and adapt to the environment at hand.

The robot has built-in programming language with certain commands that can translate the human sentences for the robot. For example command find (pan), grasp (pan), carry (pan, water tap), fill (pan, water), carry (pan, stove) and so on and these instructions can be translated for the robot by the software and will be Fill a pan with water, put it on the stove, and heat the water.

Saxena’s robot is equipped with a 3-D camera and can scan its environment and identify the objects in it by using computer vision software and was previously developed in Saxena lab and the robot has been trained to associate objects with their capabilities.

Saxena along with his graduate students namely Dipendra K Misra and Jaeyong Sung will describe their methods from 12 to 16 July 2014 at the Robotics: Science and Systems conference at the University of California, Berkeley.

If you have any Question/Point on the above information, please ask/discuss it in the Current Affairs Group.

Is this article important for exams ? Yes16 People Agreed
Read more Current Affairs on: Ashutosh Saxena , Cornell University , Robot Learning Lab

Register to get FREE updates

    All Fields Mandatory
  • (Ex:9123456789)
  • Please Select Your Interest
  • Please specify

  • ajax-loader
  • A verifcation code has been sent to
    your mobile number

    Please enter the verification code below

This website uses cookie or similar technologies, to enhance your browsing experience and provide personalised recommendations. By continuing to use our website, you agree to our Privacy Policy and Cookie Policy. OK