Quantum International is investigating the development of home-building robots that can complete house construction within a single day, without involving any human builders.
iRobot has introduced new gutter cleaning and vacuum cleaning robots. The iRobot Looj 330, a gutter cleaning robot, has the ability to clear dirt, clogs and leaves, while the iRobot Roomba 600 Series can vacuum carpets, laminate, tile and hardwood floors.
Quantum International (QUAN), a robotics innovation company, is looking forward to capitalize on smartphone-compatible robotics, which is considered to be the next trend in mobile technology.
Ten young students at the Paul Cuffee Middle School battled out their robots in a sumo wrestling challenge and an obstacle course.
Reportlinker has declared the availability of a new market research report titled “Personal & Professional Service Robotics Market – Global Forecast & Assessment by Applications & Geography (2012 – 2017)”.
MarketsandMarkets has released a new market research report titled ‘Personal & Professional Service Robotics Market – Global Forecast & Assessment by Applications & Geography from 2012 to 2017’. According to the report, the total service robotics market will reach $46.18 B by 2017 from 2012 to 2017 at a compound annual growth rate (CAGR) of 17.4%.
Almost anything that can be made with paper, paint and cardboard can be animated with an educational robotics kit developed at Carnegie Mellon University’s Robotics Institute. No technical experience is necessary to use the kit, but classroom teachers say it fosters interest in technology among students ages 11 and up.
Research and Markets has released a new report from Wintergreen Research titled ‘Cleaning Robots Market Shares, Strategy, and Forecasts, Worldwide, 2012 to 2018’.
RoboCity12, a robotics Summit was conducted recently in Madrid by the RoboCity2030 consortium coordinated by Universidad Carlos III of Madrid (UC3M), which consists of serious research groups committed to this field.
Christopher Amato, a postdoc at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), has developed a mathematical system to accurately and quickly analyze numerous images that surveillance cameras capture at-risk locations 24 hours a day.
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