Robotpark ACADEMY » Humanoid

The Eve 1138 Android – Sensual Cyborg 11067

Gokhan Isgor — Wed, 27 Mar 2013 23:49:53 +0000

Links

https://www.facebook.com/macmavestudios

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Advanced Robotic Toy – HiTEC Robonova – 11059

Gokhan Isgor — Tue, 05 Feb 2013 14:03:15 +0000

Those robotic toys are getting cheaper and more complicated everyday. Tomorrows children are so lucky ! Demonstration by HiTEC at the 2008 Electric Flight Expo in Glendale, Arizona. Filmed with the Canon Powershot G9.

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Humanoid Robot which You Can Print At Home – DIY Robots -11056

Gokhan Isgor — Mon, 04 Feb 2013 19:44:52 +0000

Well this is not just a post. We have started a new project research which you can print with a 3D printer and do at home. We will provide source files, lots of images and lots of videos about this new project which is currenty developing. We need all robotee.com users’ help and support over this robotic project. Please go to our robot projects page and get more information about this humanoid robot with the following link.

Go to > Robot Projects Page

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Aldebaran Robotics – Nao Robots All Dancing Show 11044

Gokhan Isgor — Tue, 29 Jan 2013 15:42:38 +0000

Aldebaran Robotics Nao Robot Show in France Pavilion Shanghai Expo 2010

Video: http://youtu.be/uIuRc1r_N34

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Aldebaran Robotics – Nao Robot 11029

Gokhan Isgor — Mon, 28 Jan 2013 17:26:32 +0000

Motion

Omnidirectional walking – Click For PDF

NAO’s walking uses a simple dynamic model (linear inverse pendulum) and quadratic programming. It is stabilized using feedback from joint sensors. This makes walking robust and resistant to small disturbances, and torso oscillations in the frontal and lateral planes are absorbed. NAO can walk on a variety of floor surfaces, such as carpeted, tiled, and wooden floors. NAO can transition between these surfaces while walking.

Whole body motion

NAO’s motion module is based on generalized inverse kinematics, which handles Cartesian coordinates, joint control, balance, redundancy, and task priority. This means that when asking NAO to extend its arm, it bends over because its arms and leg joints are taken into account. NAO will stop its movement to maintain balance.

Fall Manager

The Fall Manager protects NAO when it falls. Its main function is to detect when NAO’s center of mass (CoM) shifts outside the support polygon. The support polygon is determined by the position of the foot or feet in contact with the ground. When a fall is detected, all motion tasks are killed and, depending on the direction, NAO’s arms assume protective positioning, the CoM is lowered, and robot stiffness is reduced to zero.

NAO is a programmable, 57-cm tall humanoid robot with the following key components:

Body with 25 degrees of freedom (DOF) whose key elements are electric motors and actuators
Sensor network, including 2 cameras, 4 microphones, sonar rangefinder, 2 IR emitters and receivers, 1 inertial board, 9 tactile sensors, and 8 pressure sensors
Various communication devices, including voice synthesizer, LED lights, and 2 high-fidelity speakers
Intel ATOM 1,6ghz CPU (located in the head) that runs a Linux kernel and supports Aldebaran’s proprietary middleware (NAOqi)
Second CPU (located in the torso)
27,6-watt-hour battery that provides NAO with 1.5 or more hours of autonomy, depending on usage

NAO has two cameras and can track, learn, and recognize images and faces.

NAO sees using two 920p cameras, which can capture up to 30 images per second.

The first camera, located on NAO’s forehead, scans the horizon, while the second located at mouth level scans the immediate surroundings. The software lets you recover photos and video streams of what NAO sees. But eyes are only useful if you can interpret what you see. That’s why NAO contains a set of algorithms for detecting and recognizing faces and shapes. NAO can recognize who is talking to it or find a ball or, eventually, more complex objects. These algorithms have been specially developed, with constant attention to using a minimum of processor resources. Furthermore, NAO’s SDK lets you develop your own modules to interface with OpenCV (the Open Source Computer Vision library originally developed by Intel). Since you can execute modules on NAO or transfer them to a PC connected to NAO, you can easily use the OpenCV display functions to develop and test your algorithms with image feedback.

Audio

NAO uses four microphones to track sounds, and its voice recognition and text-to-speech capabilities allow it to communicate in 8 languages.

Sound Source Localization

One of the main purposes of humanoid robots is to interact with people. Sound localization allows a robot to identify the direction of sounds. To produce robust and useful outputs while meeting CPU and memory requirements, NAO sound source localization is based on an approach known as “Time Difference of Arrival.” When a nearby source emits a sound, each of NAO’s four microphones receives the sound wave at slightly different times. For example, if someone talks to NAO on its left side, the corresponding sound wave first hits the left microphones, then the front and rear microphones a few milliseconds later, and finally the right microphone. These differences, known as interaural time difference (ITD), can then be mathematically processed to determine the current location of the emitting source. By solving the equation every time it hears a sound, NAO can determine the direction of the emitting source (azimuthal and elevation angles) from ITDs between the four microphones. This feature is available as a NAOqi module called ALAudioSourceLocalization; it provides a C++ and Python API that allows precise interactions with a Python script or NAOqi module.

Tactile Sensors

Besides cameras and microphones, NAO is fitted with capacitive sensors positioned on top of its head in three sections and on its hands. You can therefore give NAO information through touch: pressing once to tell it shut down, for example, or using the sensors as a series of buttons to trigger an associated action. The system comes with LED lights that indicate the type of contact. You can also program complex sequences.

Sonar Rangefinders

NAO is equipped with two sonar channels: two transmitters and two receivers. They allow NAO to estimate the distances to obstacles in its environment. The detection range is 0–70 cm. Less than 15 cm, there is no distance information; NAO only knows that an object is present.

Connectivity

Ethernet and Wi-Fi

NAO currently supports Wi-Fi (bgn) and Ethernet, the most widespread network communication protocols. In addition, infrared transceivers in the eyes allow connection to objects in the environment. NAO is compatible with the IEE 802.11g Wi-Fi standard and can be used on both WPA and WEP networks, making it possible to connect to most home and office networks. NAO’s OS supports both Ethernet and Wi-Fi connections and requires no Wi-Fi setup other than entering the password.

NAO’s ability to connect to networks offers a wide range of possibilities. You can pilot and program NAO using any computer on the network.

Here are a few examples of applications NAO users have already created:

Based on NAO’s IP address, NAO can figure out its location and give you a personalized weather report.
Ask NAO about a topic and it connects to Wikipedia and read you the relevant entry.
Connect NAO to an audio stream and it plays an Internet radio station for you.

Using XMPP technology (like in the Google Chat system), you can control NAO remotely and stream video from its cameras.

Infrared

Using infrared, NAO can communicate with other NAOs and other devices that support infrared. You can configure NAO to use infrared to control other devices (“NAO, please turn on the TV”). In addition, NAO can also receive instructions from infrared emitters, such as remote controls. And of course, two NAOs can communicate with each other directly.

Infrared is already the most common method of controlling appliances, making NAO easily adaptable to domotics applications. NAO can also detect whether an infrared signal received is coming from the left or right.

http://www.aldebaran-robotics.com

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Takeshi Mita – Kokoro HQ – About Female Actroids – 11027

Gokhan Isgor — Mon, 28 Jan 2013 16:31:32 +0000

Since their inception in 1984 Kokoro have created various ‘ofrobots’ including people friendly vending machines, massive animatronic dinosaurs and life-like ‘humanoid’ robots, developed in ‘continous observation of humans’.

We meet Takeshi Mita who shows us the female actroids (actor/android) they are currently developing and tells us of his hopes for an actroid and human integrated future.

http://youtu.be/V7TKBFJMbi0

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Humanoid – Female Robot Android Actroid – 11008

Gokhan Isgor — Fri, 25 Jan 2013 04:33:17 +0000

This is another Japan design, this actroid can move it’s arms and head, and also it behaves like a female.

http://youtu.be/Yc-uyZzXWac

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Humanoid – Most Human Like Design – Fembot Actroid – 11007

Gokhan Isgor — Fri, 25 Jan 2013 04:31:03 +0000

This humanoid is the most human like design I have ever seen. It doesn’t walk, but it is focused on face design. Also it can move it’s arm and body.

Visit to Intelligent Robotics Laboratory – Repliqee Q2

http://youtu.be/Gv-_Vai9DgI

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Honda unveils All-New ASIMO Humanoid Robot – 11005

Gokhan Isgor — Fri, 25 Jan 2013 04:27:39 +0000

Honda Motor Co., Ltd. today unveiled an all-new ASIMO equipped with the world’s first autonomous behavior control technology. With a further advance in autonomy, the all-new ASIMO can now continue moving without being controlled by an operator.

The all-new ASIMO is now advanced from an “automatic machine” to an “autonomous machine” with the decision-making capability to determine its behavior in concert with its surroundings such as movements of people. With significantly improved intelligence and the physical ability to adapt to situations, ASIMO took another step closer to practical use in an office or a public space where many people come and go.

Since the establishment of the company, Honda has continued to take on new challenges in the effort to create new products and advance technologies with the spirit of utilizing technology to help people. In the area of humanoid robot research, Honda has been developing and advancing the ASIMO humanoid robot to realize a dream to be useful for people and to help enrich people’s daily lives.

http://youtu.be/1V9XUMCPGF8

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Humanoid Robot Walking Like A Real Human – 11004

Gokhan Isgor — Fri, 25 Jan 2013 04:23:18 +0000

AIST has succeeded in making HRP-4C Miim walk like a human being. Her knees are stretched by up/down motion of the waist, the single-toe supporting realizes longer strides, and she mimics the swing motion of human legs.

Technical detail is presented in “Human-Like Walking with Toe Supporting for Humanoids,” by Kanako Miura, Mitsuharu Morisawa, Fumio Kanehiro, Shuuji Kajita, Kenji Kaneko, and Kazuhito Yokoi, Proc. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Related Links
AIST official Web site
http://www.aist.go.jp/index_en.html

Intelligent Systems Research Institute
http://unit.aist.go.jp/is/cie/index_e.html

http://youtu.be/YvbAqw0sk6M

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