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Xiaopeng Chen Full Text Available Developing a vision module for a humanoid ping-pong game is challenging due to the spin and the non-linear Power Tec Thermo Slim Fat-Burner Erfahrung of the ping-pong ball.
In this paper, we present a robust predictive vision module to overcome these problems. The hardware of the vision module is Kaalulangus Ghee of two stereo camera pairs with each pair detecting the 3D positions of the ball on one half of the ping-pong table.
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- Xiaopeng Chen Full Text Available Developing a vision module for a humanoid ping-pong game is challenging due to the spin and the non-linear rebound of the ping-pong ball.
The software of the vision module divides the trajectory of the ball into four parts and uses the perceived trajectory in the first part to predict the other parts. In particular, the software of the vision module uses an aerodynamic model to predict the trajectories of the ball in the air and uses a novel non-linear rebound model to predict the change of the ball's motion during rebound. The average prediction error of our vision module at the ball returning point is less than 50 mm - a value small enough for standard sized ping-pong rackets.
Its average processing speed is fps. The precision and efficiency of our vision module enables two humanoid robots to play ping-pong continuously for more than rounds.
It contains the great majority of the photons emitted by the universe, and THz observations of molecules and dust are able penetrate deeply into molecular clouds, thus revealing the full history of star and planet formation.
Accordingly, the successful deployments of the Herschel and SOFIA observatories, and the emerging capabilities of ALMA, are both revolutionizing our understanding of THz astrophysics and placing stringent demands on the generation of accurate laboratory data on the relevant gas phase and solid state materials detected.
We have investigated solid materials from room temperature to 10 K, and can examine both refractory matter such as silicates and molecular ices. For the latter, we have demonstrated that the THz bands observed are uniquely sensitive to both the molecular structure of the ice and its thermal history, and thus that THz observations can provide novel insight into the dominant condensable materials in dense, cold regions.
In the gas phase we can record doppler-limited data over at least a decade in bandwidth.
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While quite capable, the high vacuum cryostat can only study thick samples, especially ices, due to the fairly rapid adsorption of gases onto surfaces at low temperature under such conditions. With such modifications.