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On Monday, National Instruments announced one such platform. It's called LabView Robotics. In addition to LabView, the popular data-acquisition application, the package includes a bunch of tools specific to robotics. It can import codes in various formats (C, C++, Matlab, VHDL), offers a library of drivers for a wide variety of sensors and actuators, and has modules for implementation of real-time and embedded hardware. NI says engineers could use the package to both design and run their robotic systems. 

Simulation enables people with a personal computer to develop very interesting robots, cars, spaceship, and an enormous range of scientific effects with the main limiting factors becoming time and imagination. A novice user with little to no coding experience can use simulation; developing interesting applications in a game-like environment.

Willow Garage is organizing a workshop at the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) 2010 in San Francisco to discuss the intersection of computer vision with human-robot interaction. Willow Garage is the hardware and open source software organization behind the Robot Operating System (ROS) and the PR robot development platform. Here’s a recent video from Willow Garage of work done at the University of Illinois on how robots can be taught to perceive images:

GetRobo has pointed out a new website by Francisco Paz, which focuses on his experience building an open source personal robot called Qbo.  From the few images on the site Qbo looks remarkably well made and quite similar to NEC’s PaPeRo, meaning it might be used to experiment with image processing, speech recognition, speech synthesis, and (assuming it has wheels) obstacle detection and SLAM.  He also mentions in his blog some of the open source software that’s out in the wild such as OpenCV, Festival, and Sphinx, which would allow you to do some of that.

Dennis Hong, a professor of mechanical engineering and director of Virginia Tech's Robotics & Mechanisms Laboratory, or RoMeLa, has created robots with the most unusual shapes and sizes -- from strange multi-legged robots to amoeba-like robots with no legs at all. Now he's unveiling a new robot with a more conventional shape: a full-sized humanoid robot called CHARLI, or Cognitive Humanoid Autonomous Robot with Learning Intelligence. The robot is 5-foot tall (1.52 meter), untethered and autonomous, capable of walking and gesturing. But its biggest innovation is that it does not use rotational joints. Most humanoid robots -- Asimo, Hubo, Mahru -- use DC motors to rotate various joints (typically at the waist, hips, knees, and ankles). The approach makes sense and, in fact, today's humanoids can walk, run, and climb stairs. However, this approach doesn't correspond to how our own bodies work, with our muscles contracting and relaxing to rotate our various joints.

There is a long history of attempts at replicating neural systems either in software or in conventional semiconductors, such as the FACETS project (not to mention the creation of conventional logic gates from lab-grown biological neurons!) According to a USC Viterbi news release, researchers at the BioRC project, whose goal is research on an artificial cortex, have succeeded in creating a functioning synapse from carbon nanotubes. The new research was presented by Alice C. Parker in the paper "A biomimetic fabricated carbon nanotube synapse for prosthetic applications" at the Life Science Systems and Applications Workshop in April 2011. (unfortunately the actual paper is behind a paywall but the abstract is readable). An earlier paper, "A Biomimetic Carbon Nanotube Synapse Circuit", describes the proposed design of synapse including schematics and comparison with biological neural

So after all that you are probably asking, “What is SimpleCV?” It is an open source computer vision framework that lowers the barriers to entry for people to learn, develop, and use it across the globe. Currently there are a few open source vision system libraries in existence, but the downside to these is you have to be quite the domain expert and knowledgeable with vision systems as well as know cryptic programming languages like C. Where SimpleCV is different, is it is “simple”. It has been designed with a web browser interface, which is familiar to Internet users everywhere. It will talk to your webcam (which most computers and smart phones have built in) automatically. It works cross platform (Windows, Mac, Linux, etc). It uses the programming language Python rather than C to greatly lower the learning curve of the software. It sacrifices some complexity for simplicity, which is needed for mass adoption of any type of new technology.