Robotpark ACADEMY » Stationary Robots

Prosthetic Robotic Arm 11121

Gokhan Isgor — Mon, 04 Nov 2013 17:27:25 +0000

‘Terminator’ Arm is World’s Most Advanced Prosthetic Limb

A father who lost his arm in an accident six years ago has been given a new lease of life by a hi-tech bionic hand which is so precise he can type again. Nigel Ackland, 53, has been fitted with the Terminator-like carbon fibre mechanical hand which he can control with movements in his upper arm. The new bebionic3 myoelectric hand, which is also made from aluminium and alloy knuckles, moves like a real human limb by responding to Nigel’s muscle twitches.

Incredibly, the robotic arm is so sensitive it means the father-of-one can touch type on a computer keyboard, peel vegetables, and even dress himself for the first time in six years.

Resources

http://bebionic.com

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e-David Robot Painting 11114

Gokhan Isgor — Fri, 16 Aug 2013 14:19:01 +0000

e-David, our painting machine, uses visual feedback to create different kinds of paintings. We equipped a standard robot with all necessary means for painting. Five different brushes can be used, color can be selected from a repository with 24 colors, brushes can be cleaned and colors can be distributed precisely on the canvas.

The machine watches itself while painting and decides indepentently where to add new strokes. This way paintings are created that are not completely defined by the programmer but are the result of a visual optimization process. (informatik.uni-konstanz.de/en/edavid/news/)

Paintings of e-David Robot

Scientific Motivation of e-David

Our hypothesis is that painting – at least the technical part of painting – can be seen as optimization processes in which color is manually distributed on a canvas until the painter is able to recognize the content – regardless if it is a representational painting or not. Optimization happens intuitively during the drawing process and is highly dependent on the medium and its restrictions. Centuries of so-called academic art have been shown to what extent algorithms for spatial division as well as color and content composition can be used for creating art works.

On the other side computer graphics, and especially in so-called non-photorealistic rendering made a lot of progress in imitating painting styles using the computer. By simulating media and stroke composition a lot of painting-like images were produced, typically by computing pixel information that later was printed on a conventional printer. E-David will substitute this by distributing real color on real canvas and thus will enable us to enclose the whole process of drawing production into an optimization framework. This will allow us to investigate human “optimization schemes” and to find out to what extent such schemes can be formulated using algorithms. We will use iterated optimization schemes to produce color distributions on the canvas which are constrained by given styles. Semantic information can be integrated to optimize representational paintings; a tree will be painted in a different way than a face even if the colors are similar. Such semantic information can be obtained from semantic image analysis of the given target image. A number of other questions arise immediately:

Machine Learning

It is of general interest to find out to what extent a machine is able to learn the whole process of creating a painting. The results might even influence our perception of what art is – besides the imitation of existing drawing styles (imagine what Seurat would have been thinking about a robot that helped him with the millions of dots) the machine might enable new techniques since labor plays no role any more. This way very complex visual art works can be created. The software and hardware platform will be open to artists, which can realize art works on a Java-based/processing environment.

Analysis of drawing styles

The setup can be used for the analysis of existing art works and painting styles. The robot enables us to execute brush strokes in a precisely timed sequence. This will allow us to set up experiments for color mixture and ordering of brush strokes. Accomplished by appropriate image analysis techniques this might allow us investigating the temporal development of artworks (and even the detection of forgeries).

Algorithms for visual feedback

Algorithms for learning the usage of drawing tools and their visual control are prototypical for a more general class of optimization methods that can be applied in different areas of CIM. Examples are welding and painting robots, especially in small businesses in which efficient reprogramming and adaptation of robot programs is necessary.

Extension and validation of simulation methods for computer graphics

Computer models for color description, their mixture and interaction with the canvas are still very limited. Existing approaches allow this only to a limited extent, especially if complex materials are used. There are no methods to compare computer simulations and real artifacts, this also hinders a thorough evaluation. Within the e-David project we will continuously supervise the paint application. However, this supervision is not trivial since real paint has a number of 3D effects, specular reflection and other disturbing properties. A special setup with polarized light from small angles is used to overcome these problems, we will calibrate the images by using spectroscopic methods.

Comment By Kevin Hartnett

When you watch an artist paint, individual brush strokes can seem random. It’s often not until close to the very end that the image the painter is after becomes clear. This is doubly true when you watch e-David, the robot painter, at work. David, which stands for “Drawing Apparatus for Vivid Image Display,” was created by a team of engineers at the University of Konstanz in Germany.

He’s a former welding robot who has been retrofitted to reproduce, brush stroke by brush stroke, existing works of art. The robotic arm has access to five different brushes and 25 colors of paint, and after each dab of paint, it takes a photograph of what it has painted so far- computer software analyzes the photograph and tells David where to place the next brush stroke. The strangeness of the process is especially evident when David signs his name at the end.

As you can see in this video, he begins by making the dot over the “i” and then writes the rest of his name backwards- hardly how you or I would do it, and a clear reminder that- once someone else has given you the idea- there’s more than one way to make the Mona Lisa.

Resources:

Video Link Vimeo – http://vimeo.com/68859229

http://www.boston.com/bostonglobe/ideas/brainiac/2013/08/paint-by-robot.html

http://www.informatik.uni-konstanz.de/en/edavid/

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High Tech Industrial Robot Arms 11106

Gokhan Isgor — Mon, 15 Jul 2013 17:33:18 +0000

FANUC Robotics Authorized Integrator TranTek Automation Corporation designed this new automation concept for a series of camshaft machining centers that traditionally used separate linear motion gantry-style pick and place mechanisms and floor conveyors. This new 7th Axis Robotic design, which utilizes FANUC R-2000iB rail-mounted robots, reduces the amount of fixed automation equipment required, cuts four individual automation systems down to one, uses less energy, and frees up floor space while providing capital equipment flexibility.

By integrating these top loader FANUC R-2000iB Material Handling “flying robots” on a overhead rail, separate fixed automation can be removed at each of the CNC machining centers. In the traditional configuration, each machining center had a linear gantry deliver camshafts to and from a conveyor on the shop floor. In this new design, overhead robots pick up and deliver parts from cell to cell. Each movement to the machining center includes removal of a finished part and delivery of a raw part.

The traditional design also required hundreds of feet of fixed floor conveyors to feed the machining cells. The new configuration by TranTek eliminates the entire conveyor system, freeing up valuable floor space. With the conveyors removed, operators and quality control personnel can move freely around the machine centers.

But one of the biggest benefits is capital equipment flexibility. The CNC machining cells can be upgraded or replaced without changing the automation system. Because the FANUC R-2000iB robots can be programmed for variable part positioning, exact machine location and alignment is no longer critical. The manufacturer also has the flexibility to re-use the automation and install a completely different line in the future.

The FANUC robot programming by TranTek engineers also includes the ability to “park” one robot and use a single robot to feed all machining centers. This feature virtually insures there will be no downtime in the system.

All of the engineering, design, and functionality of the system was provided by TranTek Automation. By integrating standard automation products, and by simulating reach studies and cycle times in advance, a faster design/build cycle was accomplished. To learn more about TranTek’s full line of robotically integrated automation systems,

please visit their website at http://www.trantekautomation.com.

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Soft Robotic Arm Moving in Water Octopus Like 11066

Gokhan Isgor — Tue, 26 Mar 2013 21:42:35 +0000

A totally soft robotic arm freely moving in water inspired by the form and morphology of the octopus.

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User Firendly Robotic Arm 31021

Gokhan Isgor — Tue, 26 Mar 2013 11:32:25 +0000

Universal Robots has reinvented industrial robotics with lightweight, flexible robot arms. Tasks previously thought impossible to automate due to cost and complexity, are now achievable with the user-friendly robots. The Danish-designed robot arms work separately or as dual arms demonstrated here with the UR5. In more than 45 countries, from the small machine shop to the large auto assembly line, Universal Robots optimize production, relieve employees from strenuous or monotonous tasks, and ensure quality control.

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Simple Robotic Arm – Made of Chain for the fingers – 11053

Gokhan Isgor — Sun, 03 Feb 2013 19:30:37 +0000

This is the simplest design for a robotic arm. It has a simple design but it can be enhanced with some additional air muscles.

Video Link:http://youtu.be/ONPkB-TmphE

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Ultra High Speed Robotic Arm -11052

Gokhan Isgor — Wed, 30 Jan 2013 21:40:39 +0000

This is highest speed robotic arm, (actually robotic hand) that can move at ultra high speed. You will see the video in slow motion to understand it. Also we have added this PDF DOCUMENT about Ishikawa Oku Laboratory’s Researches BOOKLET

Links

http://www.k2.t.u-tokyo.ac.jp/index-e.html

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Mechanical Hand Design 11047

Gokhan Isgor — Tue, 29 Jan 2013 19:16:11 +0000

The mechanical hand is developed in Kompas 3D.
It is a prototype.

http://youtu.be/KmERU5bPdaA

See the full review at http://slsa.3dn.ru/load/1

Download Drawings of This Mechanical Hand

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Festo ExoHand – Robotic Arm – 11042

Gokhan Isgor — Tue, 29 Jan 2013 09:57:39 +0000

The ExoHand from Festo is an active manual orthosis with sensitive fingers and an exoskeleton that can be worn like a glove. The fingers can be actively moved and their strength amplified; the operator’s hand movements are registered and transmitted to the robotic hand in real time.

Further Information: http://www.festo.com/en/exohand
CPX inside, further information here: http://www.10sek.de/festo/index_gb.html

Video:http://youtu.be/EcTL7Hig8h4

New scope for interaction between humans and machines
The ExoHand from Festo is an exoskeleton that can be worn like a glove.

The fingers can be actively moved and their strength amplified; the operator’s hand movements are registered and transmitted to the robotic hand in real time. The objectives are to enhance the strength and endurance of the human hand, to extend humans’ scope of action and to secure them an independent lifestyle even at an advanced age.

From assembly to medical therapy
The ExoHand could provide assistance in the form of force amplification in connection with monotonous and strenuous activities in industrial assembly, for example, or in remote manipulation in hazardous environments: with force feedback, the human operator feels what the robot grasps and can thus grip and manipulate objects from a safe distance without having to touch them.

Due to the yielding capacity of its pneumatic components, the ExoHand also offers potential in the field of service robotics. In the rehabilitation of stroke patients, it could already be used today as an active manual orthosis.

A strong hand with sensitive fingers
The exoskeleton supports the human hand from the outside and reproduces the physiological degrees of freedom – the scope of movement resulting from the geometry of the joints.

Eight double-acting pneumatic actuators move the fingers so that they can be opened and closed. For this purpose, non-linear control algorithms are implemented on a CoDeSys-compliant controller, which thus allows precise orientation of the individual finger joints. The forces, angles and positions of the fingers are tracked by sensors.

Download ExoHand PDF

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Robot Arm – 4 Bar Linkage End Effector, Robot Gripper – 11037

Gokhan Isgor — Mon, 28 Jan 2013 19:27:05 +0000

This is an End Effector that uses a small standard size RC motor with a worm gear to to open and close the gripper. It uses a 4 bar linkage mechanism in it’s design which i will be using for an upcoming robotics project. Due to requests the Solidworks 2009 files of the gripper are posted below.

Robotee Pyhsics Engine Simulator

Warning : Flash Animation May not Work on Some Browsers and Mobile Platforms !

4 Bar Linkage Claw Game Gripper, One Worm Gear Input

This is a Claw for a crane game which i designed for a group project. The opening currently supports up to 2 inch square objects so it would be perfect to pick up candies and other small objects. This project is to complete requirements in both ME 154 (mechanical engineering design) and ME 106 (mechatronics) at SJSU.

Video Links

www.youtube.com/watch?v=9ni85tiDnk0&feature=share&list=UUsG-HAQeVjYwSrniAUVhqKg
www.youtu.be/HMQ4u9UlPSQ

Download Links

Download Robotic Arm 3D PDF
Download Robotic Arm PDF
www.installerworld.com

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