Saturday, December 27, 2025
ADVT 
Tech

Indian-Origin Scientist's Robot's In-Hand Eye Maps Surroundings, Determines Hand's Location

Darpan News Desk IANS, 17 May, 2016 10:59 AM
    Researchers including an Indian-origin scientist from Carnegie Mellon University have found that a camera attached to the robot's hand can rapidly create a 3D model of its environment and also locate the hand within that 3D world.
     
    The team found they can improve the accuracy of the map by incorporating the arm itself as a sensor, using the angle of its joints to better determine the pose of the camera.
     
    This will be important for a number of applications including inspection tasks.
     
    “Placing a camera or other sensor in the hand of a robot has become feasible as sensors have grown smaller and more power-efficient,” said Siddhartha Srinivasa, associate professor of robotics.
     
    That is important because robots "usually have heads that consist of a stick with a camera on it”.
     
    They can't bend over like a person could to get a better view of a work space.
     
    But an eye in the hand isn't much good if the robot can't see its hand and doesn't know where its hand is relative to objects in its environment.
     
    It's a problem shared with mobile robots that must operate in an unknown environment.
     
    A popular solution for mobile robots is called simultaneous localization and mapping (SLAM) in which, the robot pieces together input from sensors such as cameras, laser radars and wheel odometry to create a 3D map of the new environment.
     
    "There are several algorithms available to build these detailed worlds, but they require accurate sensors and a ridiculous amount of computation," Srinivasa noted.
     
    The researchers demonstrated their Articulated Robot Motion for SLAM (ARM-SLAM) using a small depth camera attached to a lightweight manipulator arm - the Kinova Mico.
     
    In using it to build a 3-D model of a bookshelf, they found that it produced reconstructions equivalent or better to other mapping techniques.
     
    “We still have much to do to improve this approach, but we believe it has huge potential for robot manipulation," Srinivasa pointed out.
     
    The researchers presented their findings at the IEEE International Conference on Robotics and Automation in Stockholm, Sweden on Tuesday.

    MORE Tech ARTICLES

    Twitter selfies to reveal your mood

    Twitter selfies to reveal your mood
    What if selfies posted on Twitter can reveal our mood - whether people who live in “happier” cities tend to post more selfies and whether they smile more while taking self-portraits?

    Twitter selfies to reveal your mood

    Need a house? Print it in hours

    Need a house? Print it in hours
    In what could make the dream of owning a house a reality for a large section of people in developing countries, a Chinese company has devised a method of 3D printing a house.

    Need a house? Print it in hours

    This lift to zip you to 95th floor in 43 seconds!

    This lift to zip you to 95th floor in 43 seconds!
    Forget the world's tallest skyscraper Burj Khalifa in Dubai. This elevator in China will take you to the 95th floor in flat 43 seconds!

    This lift to zip you to 95th floor in 43 seconds!

    Great! Now an app to protect your credit card from hacking

    Great! Now an app to protect your credit card from hacking
    Bad news for credit card hackers. Here comes a 'remote control' app that can help you turn your credit cards on and off with the click of a button, and control when, where, and how they are used.

    Great! Now an app to protect your credit card from hacking

    Male Twitter users biased towards women: Study

    Male Twitter users biased towards women: Study
    Gender bias is real on Twitter. According to research, twitter conversations among men feature fewer mentions of women.

    Male Twitter users biased towards women: Study

    Video games of the future to adapt to players' mood

    Video games of the future to adapt to players' mood
    A team of engineers at Stanford University has developed a hand-held controller that allows video games to adapt to a player's level of engagement.

    Video games of the future to adapt to players' mood