none

NEW RESEARCH TO IMPROVE OBJECT RECOGNITION FOR ROBOTS

18-02-2015
by 
in 

The field of robotics has just taken a step forward with the development of an algorithm that will help to increase a robot’s ability to recognise objects.

The breakthrough by researchers at the Massachusetts Institute of Technology (MIT) will help robots navigate their surroundings and become better equipped to help out around the house.

Lawson Wong of MIT is lead author of the paper, which will appear in an upcoming issue of the International Journal of Robotics Research.

When robots are becoming familiar with objects, they view it in many different perspectives so that they recognize a coffee mug as a coffee mug, whether the handle is pointed to the left or right.

The robot then needs to scan its database and search for the identity of the object.

Unfortunately, after the artificial intelligence system learns to recognize a large number of items, it takes a long time to search through the database and make a correct identification. 

The research completed by Wong’s team has utilized an algorithm, which aggregates the different viewpoints, resulting in object identification that occurs up to ten times faster and makes fewer mistakes than previous versions which only take a single perspective into account.

This allows the robot to operate more seamlessly, making real-time decisions and actions.

“If you just took the output of looking at it from one viewpoint, there’s a lot of stuff that might be missing, or it might be the angle of illumination or something blocking the object that causes a systematic error in the detector,” Wong said in a press release. 

“One way around that is just to move around and go to a different viewpoint.”

This new algorithm makes it easier for the robot to make the correct choice when it needs to identify a particular object in a crowded situation, such as choosing the correct glass when opening a full cabinet.

Traditionally, the AI system would have to go in sequential steps, scanning through the images in its memory and picking out the one it believes is most likely to be correct.

When there are multiple perspectives of each object, the identification process gets extremely convoluted.

To help the computer make better sense of these multiple images, Wong’s team had tried to implement a tracking system that would allow the AI to understand when it was looking at two images of the same object. 

However, the computer still had to sift through and determine which images correspond to a single object, which takes time and delays the robot’s decision. 

In order to allow the computer to make up its mind more quickly, the algorithm allows for the hypothesis of object identification to overlap, randomly sampling images in order to make the best possible guess in a fraction of the time it would normally take.

Even when the computer makes a mistake and needs to re-analyse some images, the time needed to fix these corrections is still nominal compared to the previous method.

 

Source: iflscience.com

Photo credit: Christine Daniloff and Jose-Luis Olivares/MIT

Related news & editorials

  1. 18.06.2018
    18.06.2018
    by      In
    Queensland-based electronics design and manufacturing company, Hetech, is collaborating with selected local engineering companies to increase its design capacity of up to 20 engineers.
    With defence projects such as the LAND400: Phase 2 arriving in Queensland, collaboration between local engineers... Read More
  2. 15.06.2018
    15.06.2018
    by      In
    The NRMA has chosen Australian-made electric vehicle chargers from Brisbane-based Tritium to equip its $10 million network planned for New South Wales and the ACT. The network, which will be the largest in Australia, will comprise 40-plus charging stations that will be free to use for NRMA members... Read More
  3. 14.06.2018
    14.06.2018
    by      In
    Australia’s Collins Class submarine fleet is set to receive significant sonar upgrades this year in a project led by Raytheon Australia and Thales Australia.
    In announcing the commencement of the upgrade programme, Minister for Defence Industry, the Hon Christopher Pyne MP, said that as the... Read More
  4. 14.06.2018
    14.06.2018
    by      In
    Australian-founded Ainsworth Game Technology has expanded globally since being established in 1995, today representing the fifth-largest gaming manufacturer in the USA. The company boasts a new state-of-the-art US$40 million facility in Las Vegas, which produces thousands of gaming machines per... Read More