fig.1 Robbie the Robot

fig.2 B9 Robot U-Build it

fig.3 Dr Who Dalek

fig.4 Son of Roswell Survivor


Robot Builders
R2 D2 Builders Club
B9 Parts and Plans
B9 Robot Parts
Bobs B9 Parts
Bills B9 Power Packs
Bob Greiners Bots

Fembots vs the Bionic Woman
Bionic Woman Movie
Bionic Woman TV Show
Bionic Woman Doll
Fembot Doll Commercial
Outer Limits, I Robot
Ray Bradbury Marionettes Inc 86
Ray Bradbury Marionettes Inc 59
Star Trek I Mudd Wavs
Star Trek Stella Mudd Wavs
Jeri Ryan Pics Wavs
Voyage to the
Bottom of the Sea

Small Wonder
Lost In Space B9
BBC Cpt Scarlet Gallery
Robots on TV Guide
Robots on TV Guide UK


Bennett Robot Works
Little Robot
Urban Woodswalker
Virtual Dumpster Dive
Allen Jones
Archive 1
Archive 2

fig.9 EC Comic

fig.10 Japaneese Love Doll

fig.11 Galaxy Magazine

fig.12 80s Comic

Sexy Dolls
Sexbot 2011
Debbie does Barbie
Barbie Knocked Up
Trailer Park Barbie
Tramp Stamp Doll
Visible Barbie
Bionic Woman
Little Harlot
Render Dolls
Replicant 1
Replicant 2
Replicant 3

fig.13 Tomi Ungerer. DE

fig.14 EC Comic

fig.15 Tomi Ungerer

fig.16 NY Press

fig.17 Ted Marche Patent

fig.18 Popular 20thk magazine

fig.19 Westworld

fig. 20 Allen Jones Furniture

Artificial Intelligence

Artificial Intelligence Chatbots
Enter $100K Turing Test
A.I. Sex Bot 2012
Kari Girl
Virtual Girlfriend
JavaScript Eliza
John Lennon Chatbot
Virtual Girls
Smart Digital Robotics
Chat Bot Links
More Links
Eliza Type Links
Eliza Open Directory

Chat Robots
Eliza Robot For PC
Racter For PC
Claud Robot For PC

AI Groups
J.Stefan Institute
Libraries at CMU
A.A.A.I. Org
CG Society

Computer Hackers
Alan Turing Biblio
Smashing Enigma
Site-1 2600
Site-2 Hack Home
Site-3 Hackers

Voice Recognition
XP Install
Vista Install
Mac Tool kits
HTK Tool kit
UDEL Medical

Speech Synthesis
Windows Synthesis Kit
Mac Synthesis Kit
Add Code for Delphia Aps

Face Reconition Software
Handy Solution Demo
UT Links
Reading Face and Body Language

Machine Learning

Andriod Girl Bot
Japandriod Girl

Japandroid video
Elder Bot
Pregnant Robot
US Gov Research
COG Humanoid

Robot Walks like Human
Balances like a Human
Walk Cycle 1
Walk Cycle 2
Human Figure in Motion
Laban Talk

Hybrid Control System
Robot Arm
Robot Hand

Robot leg

Actroid 3
Akiba Robot Festival Video
Fun Animatronics
Renegade Effects
Westworld L5

More Sites

Japandroid Love Dolls
Factory Dolls
A Dolls House
Candy Girls
Taka Gallery
Saori Gallery 6
Level D Project
Doll Dataroom

Alien Girl

Real Doll

UK Dolls
Rebecca Doll
BBC Investigates

Dream Doll
Angie Gallery

Stacy Leigh
The Ultimate Robot
Jean Paul Gaultier
Future Fashion

Sexbot Illustrations
Technophilia Retro
Nubile Robots
Tamar Levine Project
Robot Pin ups
Meet High Tech II
Robot Showcase
All About Eva
Ghost in the Shell
Ghost in the Shell video
An Sicht 1

Robot Paintings
Mark Bryan
Goodbye Robot

Chester 5000
Little Tin Gods
The Little Robbet
The Krazy Robot

Toy Robots
Weird and Wonderful
Robot Gallery

Android Lust

Robot Pin-ups
Robot Girls
Metallic Body
Solid Gold
Metal Girls
Golden Girl
Space Girl
Alien Girl
Alien Girl 2
Alien Video 1
Alien Video 2

A.I. Game Developers
Game Developers
Pathfinding Algorithms

Virtual Valarie
Virtual Valerie Pix
Mac Playmate

Space Port 9

Kyoko Date
DK96 Smash Hit
DK96 Gallery

Lara Croft
Tomb Raiders
Angelina Jolie Pix and Bio
U-Tube Videos
Lara Croft Patch
Nude Raiders Patches
Womb Raider -the Movie
Panty Raiders Game
Nude Raider Game
Lara Croft XXX Game

More Games
Kise Kae
Girlie Games
Otaku World
Kiss Makers
Space X Games
Virtual Stripper
Virtual Fem
MacPlaymate II
Virtual Girlfriend

Virtual Stripper
Coffee Tea or Me Game
3-D Stewardesses
Space Stewardess Game

Free V-Girls
3-D Girls - download
Soma Dolls - download

Virtual Hottie 2 - download

DigAmour Dolls - download
Hentai 3-D - download
3-D Stewardess - download
3-D Stripper - download
Virtual Girls - download
SomaVision- download
E- Girl - download
3-D X Games - download
Play Sex Games - download
Sex Station 7- download
Thrixxx Pixel Chicks - download

Index Add Link

Robots Info
Society of Robots
Robotics Trends
Roblog 1
Roblog 2
RobotWeb Links
Jeffs Links

Robotics Labs
Harvard Lab
UC Berkeley Robotics
Bucknell U
USC Robotics
US Gov Android Lab
GT's Tech Mobile
Robotics at Caltech
Hirose & Yoneda Lab

U-Drive-It Telebots
I nterface TeleRobot
Blimp Links

sexy robot

Robot Stories
Love Bytes
Sir Issac Asimov
Phillip K Dick
NY Times

Robot Girls
Battle Bots Bedroom

Cupcake Junkie
Hey Mister
Shouting to Hear the Echoes

Boing Boing
Ramona CGI Chat
Meme Lab

fig.5 Metropolis Robot

fig.6 Bild Lilli

fig.7 Blade Runner

fig.8 Face Robot Tokyo

Motion Pictures
Blade Runner

Beyond Westworld
Future World Video
Sex World
Sex World Video
The Sex Life of Robots Video
Transformation Roberta Video
The Day the Earth Stood Still
Ghost in the Shell
Sexy Android Video
Forbidden Planet
The Stepford Wives 04
The Stepford Wives 75
Sexbot goes Berserk
2001 A Space Odyssey
The Matrix
I robot
Cherry 2000

Japaneese Robots

Love Robots

Love Robots
Mech Sex
Sex Machines

Love Robots MPGS
Gallery 1
Gallery 2
Gallery 3 Gallery 4
Gallery 5 Gallery 6
Gallery 7 Gallery 8

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'I propose to consider the question "Can machines think?"' Not my question but the opening of Alan Turing's seminal 1950 paper which is generally regarded as the catalyst for the modern quest to create artificial intelligence. His question was inspired by a book he had been given at the age of 10: Natural Wonders Every Child Should Know by Edwin Tenney Brewster. The book was packed with nuggets that fired the young Turing's imagination including the following provocative statement: "Of course the body is a machine. It is vastly complex, many times more complicated than any machine ever made with hands; but still after all a machine. It has been likened to a steam machine. But that was before we knew as much about the way it works as we know now. It really is a gas engine; like the engine of an automobile, a motor boat or a flying machine." If the body were a machine, Turing wondered: is it possible to artificially create such a contraption that could think like he did? This year is Turing's centenary so would he be impressed or disappointed at the state of artificial intelligence? Do the extraordinary machines we've built since Turing's paper get close to human intelligence? Can we bypass millions of years of evolution to create something to rival the power of the 1.5kg of grey matter contained between our ears? How do we actually quantify human intelligence to be able to say that we have succeeded in Turing's dream? Or is the search to recreate "us" a red herring? Should we instead be looking to create a new sort of machine intelligence different from our own? Last year saw one of the major landmarks on the way to creating artificial intelligence. Scientists at IBM programmed a computer called Watson to compete against the best the human race has to offer in one of America's most successful game shows: Jeopardy! It might at first seem a trivial target to create a machine to compete in a general knowledge quiz. But answering questions such as: "William Wilkinson's An account of the principalities of Wallachia and Moldavia inspired this author's most famous novel" requires a very sophisticated piece of programming that can return the answer quickly enough to beat your rival to the buzzer. This was in fact the final question in the face-off with the two all-time champions of the game show. With the answer "Who is Bram Stoker?" Watson claimed the Jeopardy! crown. Watson is not IBM's first winner. In 1997 IBM's super computer Deep Blue defeated reigning world chess champion Garry Kasparov. But competing at Jeopardy! is a very different test for a computer. Playing chess requires a deep logical analysis of the possible moves that can be made next in the game. Winning at Jeopardy! is about understanding a question written in natural language and accessing quickly a huge database to select the most likely answer in as fast a time as possible. The two sorts of intelligence almost seem perpendicular to each other. The intelligence involved in playing chess feels like a vertical sort of intelligence, penetrating deeply into the logical consequences of the game, while Jeopardy! requires a horizontal thought process, thinking shallowly but expansively over a large data base. The program at the heart of Watson's operating system is particularly sophisticated because it learns from its mistakes. The algorithms that select the most likely answers are tweaked by Watson every time it gets an answer wrong so that next time it gets a similar question it has a better chance of getting it right. This idea of machine learning is a powerful new ingredient in artificial intelligence and is creating machines that are quickly doing things that the programmers hadn't planned for. Despite Watson's win, it did make some very telling mistakes. In the category 'US cities' contestants were asked: "Its largest airport is named for a world war two hero; its second largest for a world war two battle." The humans responded correctly with "Where is Chicago?" Watson went for Toronto, a city that isn't even in the United States. It's this strange answer that gives away that it is a probably a machine rather than a person answering the question. Getting a machine to pass itself off as human was one of the key hurdles that Turing believed a machine would need to pass in order to successfully claim the realisation of artificial intelligence. With the creation of the Loebner prize in 1991, monetary prizes were offered for anyone who could create a chatbot that judges could not distinguish from the chat of a human being. Called the Turing test, many working in AI regard the challenge as something of a red herring. The Loebner prize, in their opinion, has distorted the quest and has proved a distraction from a more interesting goal: creating machine intelligence that is different from our own. The AI community is beginning to question whether we should be so obsessed with recreating human intelligence. That intelligence is a product of millions of years of evolution and it is possible that it is something that will be very difficult to reverse engineer without going through a similar process. The emphasis is now shifting towards creating intelligence that is unique to the machine, intelligence that ultimately can be harnessed to amplify our very own unique intelligence. Already the descendants of Deep Blue are performing tasks that no human brain could get anywhere near. Blue Gene can perform 360 trillion operations a second, which compares with the 3 billion instructions per second that an average desktop computer can perform. This extraordinary firepower is being used to simulate the behaviour of molecules at an atomic level to explore how materials age, how turbulence develops in liquids, even the way proteins fold in the body. Protein folding is thought to be crucial to a number of degenerative diseases so these computer simulations could have amazing medical benefits. But isn't this number-crunching rather than the emergence of a new intelligence? The machine is just performing tasks that have been programmed by the human brain. It may be able to completely outperform my brain in any computational activity but when I'm doing mathematics my brain is doing so much more than just computation. It is working subconsciously, making intuitive leaps. I'm using my imagination to create new pathways which often involve an aesthetic sensibility to arrive at a new mathematical discovery. It is this kind of activity that many of us feel is unique to the human mind and not reproducible by machines. For me, a test of whether intelligence is beginning to emerge is when you seem to be getting more out than you put in. Machines are human creations yet when what they produce is beginning to surprise the creators then I think you're getting something interesting emerging. Exciting new research is currently exploring how creative machines can be in music and art. Stravinsky once wrote that he could only be creative by working within strict constraints: "My freedom consists in my moving about within the narrow frame that I have assigned myself for each one of my undertakings." By understanding the constraints that produce exciting music, computer engineers at Sony's Computer Science Laboratory in Paris are beginning to produce machines that create new and unique forms of musical composition. One of the big successes has been to produce a machine that can do jazz improvisation live with human players. The result has surprised those who have trained for years to achieve such a facility. Other projects have explored how creative machines can be at producing visual art. The Painting Fool is a computer program written by Simon Colton of Imperial College. Not everyone likes the art produced by the Painting Fool but it would be anaemic art if they did. What's extraordinary is that the programmes in these machines are learning, and changing and evolving so that very soon the programmer no longer has a clear idea of how the results are being achieved and what it is likely to do next. It is this element of getting more out than you put in that represents something approaching emerging intelligence. For me one of the most striking experiments in AI is the brainchild of the director of the Sony lab in Paris, Luc Steels. He has created machines that can evolve their own language. A population of 20 robots are first placed one by one in front of a mirror and they begin to explore the shapes they can make using their bodies in the mirror. Each time they make a shape they create a new word to denote the shape. For example the robot might choose to name the action of putting the left arm in a horizontal position. Each robot creates its own unique language for its own actions. The really exciting part is when these robots begin to interact with each other. One robot chooses a word from its lexicon and asks another robot to perform the action corresponding to that word. Of course the likelihood is that the second robot hasn't a clue. So it chooses one of its positions as a guess. If they've guessed correctly the first robot confirms this and if not shows the second robot the intended position. The second robot might have given the action its own name, so it won't yet abandon its choice, but it will update its dictionary to include the first robot's word. As the interactions progress the robots weight their words according to how successful their communication has been, downgrading those words where the interaction failed. The extraordinary thing is that after a week of the robot group interacting with each other a common language tends to emerge. By continually updating and learning, the robots have evolved their own language. It is a language that turns out to be sophisticated enough to include words that represent the concept of "left" and "right". These words evolve on top of the direct correspondence between word and body position. The fact that there is any convergence at all is exciting but the really striking fact for me is that these robots have a new language that they understand yet the researchers at the end of the week do not comprehend until they too have interacted and decoded the meaning of these new words. Turing might be disappointed that in his centenary year there are no machines that can pass themselves off as humans but I think that he would be more excited by the new direction artificial intelligence has taken. The AI community is no longer obsessed with reproducing human intelligence, the product of millions of years of evolution, but rather in evolving something new and potentially much more exciting.