NSF Smart and Autonomous Systems (S&AS) Program

On October 25, 2016, I received an email from NSF that notified me a new NSF program called Smart and Autonomous Systems (S&AS). It is another robotics-related program after National Robotics Initiative (NRI) program. Before NRI, robotics people were only able to send their robotics proposals in Robust Intelligence (RI) program under CISE-IIS ...

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Lessons learned from robotics grasping and manipulation competition

Two weeks ago, I, along with eight researchers in the IEEE RAS TC on Robotic Hands, Grasping, and Manipulation, organized the first Robotics Grasping and Manipulation Competition in Daejeon, South Korea during IROS 2016. The competition had three tracks: hand-in-hand, fully autonomous (only in grasping stage), and simulation. There are ...

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Sensors on AV

The following is a list of popular sensors on any autonomous vehicles (AV): 2D camera, range camera, LIDAR, Radar, Sonar, GPS, IMU/compass, odometry. Since autonomous driving requires the vehicle to sense the environment as good and even better than human drivers, multiple sensors are usually used for compensate their capabilities. To ...

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Renaissance of Robotic Grasping

My talk at CCF-GAIR on August 12, 2016. 机器人灵巧手抓取的复兴 大家好,感谢陈主编的介绍。 在座的那一位能在国际象棋比赛中赢IBM深蓝计算机,能在围棋比赛里赢Google的alpha 狗? ...

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Golf practice drills

Start from putting to driver Putting 1.Use 4 balls, place them at four directions from the cup. Make 20 putts in a row from 3-feet. Then move on to 12 in a row from 6 feet, 8 from 10, 8 from 15, 4 from 20. Don't need to be made consecutively. Drill three times for a day. 2. 2-putt. Practice 25, 30 and two-putt 5 times in a row. Tip: Two ...

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Robotic grasping and manipulation competition

I work with several world-renowned roboticists in organizing the Robotic Grasping and Manipulation Competition at IROS 2016 (Oct. 10-12, 2016) in Daejeon, South Korea. The research in the the field of robotic grasping and manipulation has made tremendous progress recently.  At ICRA 2015, Amazon organized the first Amazon Picking Challenge. ...

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GoogLeNet

The GoogLeNet published in 2015 presented an effective and simple idea. Instead of applying a 3x3 or 5x5 convolution layer directly, in later layers, first apply a 1x1 convolution layer and then apply the real convolution layer. The 1x1 convolution average all depth values of each pixel and reduce the depth to one. So the 1x1 convolution is ...

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Recurrent neural networks (RNN)

Different from regular neural networks (including deep neural networks), recurrent neural networks (RNN) provides a representation that connects a sequence of inputs. It could a time sequence, a DNA sequence, or any other sequence. A regular NN takes one input (a vector) at a time and the output responds to the input alone, not the previous inputs ...

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