San Diego Lindbergh Chapter

"The Global Center of Excellence for Unmanned Systems and Technology"

The AUVSI San Diego Lindbergh Chapter is dedicated to the advancement of Unmanned Systems and Technology in the greater Southwest region. The Chapter enthusiastically engages in initiatives with the public and private sectors for the advancement and advocacy of Unmanned Systems, and is a value added resource for the integration and interoperability of space, air, ground, sea and undersea systems.

Please join us for the

AUVSI San Diego Chapter Luncheon 

for updates on the 

San Diego
Integration Pilot Program (IPP)

April 11, 2019 (11am - 1pm)
Click here for more details 
Admiral Baker Golfcourse Clubhouse
2400 Admiral Baker Road
San Diego  


Researchers at MIT say that they have developed a technique that allows robots to quickly identify objects hidden in a three-dimensional cloud of data.

According to the researchers, sensors that collect and translate a visual scene into a matrix of dots help robots “see” their environment. The researchers note, though, that conventional techniques that try to pick out objects from such clouds of dots, or point clouds, can do so with either speed or accuracy, but not both.

With the new technique developed by MIT researchers, it takes a robot just seconds from when it receives the visual data to accurately pick out an object that is otherwise obscured within a dense cloud of dots, such as a small animal. This technique can help improve a variety of situations in which machine perception must be both speedy and accurate, the researchers say, including driverless cars and robotic assistants in the factory and the home.

auvsi news tile

Carnegie Mellon University (CMU) and Argo AI have announced a five-year, $15 million sponsored research partnership that will result in Argo AI funding research into advanced perception and next-generation decision-making algorithms for autonomous vehicles.

CMU and Argo AI will establish the Carnegie Mellon University Argo AI Center for autonomous vehicle research. Through advanced research projects, the center will seek to help overcome the hurdles associated with enabling self-driving vehicles to operate in various real-world conditions.

iRobot Corp. has acquired Root Robotics, the developer of an educational robot called the Root coding robot, which teaches children as young as four years old coding and 21st century problem-solving skills.

With the addition of the Root coding robot to its product lineup, iRobot says that the acquisition of Root Robotics supports its plans to diversify its educational robot product offerings, as it continues to showcase its commitment to make robotic technology more accessible to educators, students and parents.

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