World's Best Table Tennis Robot vs TableTennisDaily's Dan!

Опубликовано: 15 апр. 2019 г.Hey guys,

Today I met my first ever non-human table tennis player, Forpheus from Omron at the Messe Exhibition Center in Hanover, Germany. This machine is absolutely incredible and has inbuilt features such as artificial intelligence and the ability to learn from the opponent! What I found mind blowing was how well it handled my shots and spinny serves! I used an allround bat with Sriver rubbers on so I was able to generate a lot of spin.

How long until this robot beats a World Champion?

Music Credit to:
Electro Light ft. Kathryn MacLean — The Edge [NCS Release]
https://www.youtube.comhttps://www.youtube.com/watch?v=rmFLL...

Fast Robotic Assembly of CPU and Memory Modules on a Circuit Board

Опубликовано: 1 сент. 2016 г.The KR 3 AGILUS is one of KUKA's newest robots. Fast, agile and flexible it can be used for a wide variety of tasks, including sensitive assembly in the electronics industry.

In this example the KR 3 AGILUS is combined with a force torque sensor mounted on the robot flange and the KUKA.ForceTorqueControl software to assemble CPU and Memory Modules into a PCB, resulting in the highest speed and accuracy for the assembly of sensitive electronics components.

More Information about KR 3 AGILIUS Robots: https://www.kuka.com/en-de/products/r...

Kuka — Hannover Messe 2015 — Industrie 4 0 — Roboter schenkt Bier ein

Опубликовано: 14 апр. 2015 г.Breiter Schulterschluss für Erweiterung des Industrie 4.0-Standards

The Funniest Table Tennis Match in HISTORY

Опубликовано: 27 янв. 2014 г.Watch as Jean-Michel Saive (BEL) plays against good friend Chuang Chih-Yuan (TPE) Tai-Ben International.

Timo Boll vs Ma Long (2017 World Cup)

Опубликовано: 29 окт. 2017 г.Спасибо за просмотр. Ставьте лайки и подписывайтесь на мой канал.

Waymo Celebrates 10 Million Miles of Self-Driving

Опубликовано: 10 окт. 2018 г.We’re building the world’s most experienced driver, with over 10 million miles self-driven on public roads and almost 7 billion in simulation. Discover what we've seen and learned along the way from literal curveballs in our path, to navigating low-visibility dust storms, and more unexpected scenarios.

Sacha Arnoud, Director of Engineering, Waymo — MIT Self-Driving Cars

Опубликовано: 16 февр. 2018 г.This is a talk by Sacha Arnoud for course 6.S094: Deep Learning for Self-Driving Cars (2018 version). Sacha is the Director of Engineering at Waymo and his talk is titled «The rise of machine learning in self-driving cars.» This class is free and open to everyone. It is an introduction to the practice of deep learning through the applied theme of building a self-driving car.

INFO:
Course website: https://selfdrivingcars.mit.edu
Contact: deepcars@mit.edu

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LINKS:
Playlist: https://goo.gl/SLCb1y
Lecture 1: Deep Learning — https://youtu.be/-6INDaLcuJY
Lecture 2: Self-Driving Cars — https://youtu.be/_OCjqIgxwHw
Lecture 3: Deep Reinforcement Learning — https://youtu.be/MQ6pP65o7OM
Lecture 4: Computer Vision — https://youtu.be/CLOAswsxudo
Lecture 5: Deep Learning for Human Sensing — https://youtu.be/Z2GfE8pLyxc

Guest talk: Sacha Arnoud, Waymo — https://youtu.be/LSX3qdy0dFg
Guest talk: Emilio Frazolli, nuTonomy — https://youtu.be/dWSbItd0HEA
Guest talk: Sterling Anderson, Aurora — https://youtu.be/HKBhP9JISF0

2017:
Guest talk: Sertac Karaman, MIT — https://youtu.be/0fLSf3NO0-s
Guest talk: Chris Gerdes, Stanford — https://youtu.be/LDprUza7yT4

Riding a Waymo self-driving taxi

Опубликовано: 5 дек. 2018 г.Today, Waymo rolls out a driverless taxi service called Waymo One in Arizona. The company has been operating self-driving cars, occasionally without safety drivers behind the wheel, for about a year and half now. The goal is to use all the data they have collected to make Waymo's autonomous vehicles the safest drivers on the road. Andrew Hawkins went down to Chandler, Arizona for a test ride.

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360 It Can Wait Driving Simulation | It Can Wait | AT&T

Опубликовано: 13 окт. 2015 г.Step 1: For best experience, view this 360 video simulation using the YouTube mobile app on either an Android or Apple device.

Step 2: To experience using a Virtual Reality Cardboard, Samsung Gear, or any other compatible headset, locate the video via the YouTube search bar in the mobile app.

Step 3:
Android: Before launching the video, click the ‘cardboard’ icon at the lower right hand corner of the screen to initiate a split screen view.

Apple: If you are viewing through the mobile app on an Apple device simply view the simulation on your mobile screen, without a headset

Step 4: Connect headphones for the most immersive effect.

If you would like to order your own Google Cardboard headset from AT&T, click: http://www.itcanwait.com/vr/

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360 It Can Wait Driving Simulation | It Can Wait | AT&T
https://www.youtube.comhttps://www.youtube.com/watch?v=gOc1d...

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How is LiDAR remote sensing used for Autonomous vehicles?

Опубликовано: 15 апр. 2018 г.Self-driving cars are now a reality. Take a look around. Cars are already driving themselves on the roads of California, Texas, Arizona, Washington, Pennsylvania, Michigan and many more cities. Though, currently they are restricted to specific test areas and driving conditions. But how exactly do they work?

Just like humans they also face issues of traffic congestion, rash driving, potholes, trees and other obstacles on the road. But again…How do they change lane, keep a safe distance from other vehicles passing by and how do they identify roadblocks.

Let’s take a closer look at how they handle such situations smoothly?

You might have noticed a rotating device installed on top of this autonomous vehicle. Sometimes these devices are mounted on the bonnet. This device is called LiDAR. It acts as the eye of self-driving vehicles providing a 360-degree view of its surroundings in order to enable safe driving.

Continuously rotating LiDAR system sends thousands of laser pulses every second. These pulses collide with the various objects around the vehicle and reflect back the signals. These light reflections are then used to create a 3D point cloud. An onboard computer records each laser’s reflection point and translates this rapidly updating point cloud… into an animated 3D representation.

#Lidar #Autonomous #gis