May 13, 2011: Okay, try to keep up! The Transporter Team! Dark Matter Ship Designs! Movement on the Anime Front! Stargate: SG-1 Season 6 Memories! Notes on Network Notes! And I Answer Your Stargate Questions!

A jellyfish’s lifespan usually ranges from somewhere between a few hours for the smallest species to several months and rarely to a few years for the bigger species. How does the only 4-5 mm long Turritopsis nutricula (let’s call it T’nut) manage to beat the system? Well, T’nut is able to transform between medusa and polyp stage, thereby reverting back from mature to immature stage and escaping death. The cell process is called transdifferentiation, when non-stem cells either transform into a different type of cell or when an already differentiated or specialised stem cell creates cells outside this specialised path.

Humans have been coming up with innovative ways with which to plunder the Earth and its resources for as long as we have existed, so perhaps its time we give back a little. Leading aquatic animals, such as fish, away from underwater power plant turbines seems like a good place to begin, and a researcher at the Polytechnic Institute of New York University has designed a robot that will help just with that. Assistant professor Maurizio Porfiri studied the characteristics of small schools of fish to learn what exactly they look for in a leader, and he designed a palm-sized robot that possesses these traits. By taking command, this leader can be programmed to guide the fish away from danger, but the tricky part is getting the animals to accept the robot as one of their own.

The animal world has been a source of inspiration for many robotic designs as of late, as who better to ask about life-like movements than mother Nature herself? Up until now, though, these designs had been mostly focused on small critters, like cockroaches, and simulating properties such as adaptability and speed. But what happens when we start looking at bigger and stronger animals? Like, say, an elephant? Well, Festo’s Bionic Handling Assistant is what happens. This innovation might seem like just another robotic arm at first glance, but the video demonstrates quite vividly how this design is such a big improvement over previous versions. Modeled after the elephant’s mighty trunk, this arm possesses great dexterity, flexibility and strength; operating with smooth, yet firm motions, and can pick up and move any kind of object from one place to another. It’s FinGripper fingers give it “an unparalleled mass/payload ratio”, and it has no problem twisting, assembling and disassembling things, such as the experimental toy in the video.

Japan’s National Institute of Advanced Industrial Science and Technology (AIST) has detailed the software used to make their robot dance (see some nice photos over at Pink Tentacle) in a recent press release.  The software, dubbed Choreonoid (Choreography and Humanoid), is similar to conventional computer animation software.  Users create key poses and the software automatically interpolates the motion between them.  What makes the software unique is that it also corrects the poses if they are mechanically unstable, such as modifying the position of the feet and waist, allowing anyone to create motions compatible with the ZMP balancing method.  This is especially important for robots like the HRP-4C, where complicated motions could easily cause it to fall over.

Flare is an ActionScript library for creating visualizations that run in the Adobe Flash Player. From basic charts and graphs to complex interactive graphics, the toolkit supports data management, visual encoding, animation, and interaction techniques. Even better, flare features a modular design that lets developers create customized visualization techniques without having to reinvent the wheel. View the demos and sample applications to see a few of the visualizations that flare makes it easy to build. To begin making your own visualizations, download flare and work through the tutorial. You should also get familiar with the API documentation. Need more help? Visit the help forum (you'll need a SourceForge login to post). Flare is open-source software released under a BSD license, meaning it can be freely deployed and modified (and even sold for $$). Flare's design was adapted from its predecessor prefuse, a visualization toolkit for Java

The AVATAR script reveals some background about the AVATAR world including sex, drugs and suicide. But lots happens before the movie's events take place and producer Jon Landau says James Cameron wants to write a prequel novel: "Sigourney teaching at the schoolhouse. Jake on Earth, and his back-story and how he came here, and Tommy, Jake's brother." The possibilities are endless. Cameron could flesh out the Na'vi beyond the movie's "noble redskin" stereotypes and even show something besides evil white guys and noble blue guys, but could just as easily blast right-wing critics. Or explain how unobtainium really got its name. Or write himself in as a Na'vi character. The good news: Cameron hopes to have the book done by the end of the year.

OpenGL 3.1 introduced two new sources from where shaders can retrieve their data, namely uniform buffers and texture buffers. These can be used to accelerate rendering when heavy usage of application provided data happens like in case of skeletal animation, especially when combined with geometry instancing. However, even if the functionality is in the core specification for about a year now, there are few demos out there to show their usage, as so, there is a big confusion around when to use them and which one is more suitable for a particular use case. Both AMD and NVIDIA have updated their GPU programming guides to present the latest facilities provided by both OpenGL and DirectX, however I still see that people don’t really understand how they work and that prevents them from effectively taking advantage of these features. Once, at some online forum, I found somebody arguing why is this whole confusion introduced by the Khronos Group and why there is no general buffer type to use instead and the decision whether to use uniform or texture buffers should be a decision made by the driver. This particular post motivated me to write this article.

Walking, swallowing, respiration and many other key functions in humans and other animals are controlled by Central Pattern Generators (CPGs). In essence, CPGs are small, autonomous neural networks that produce rhythmic outputs, usually found in animal's spinal cords rather than their brains. Their relative simplicity and obvious success in biological systems has led to some success in using CPGs in robotics. However, current systems are restricted to very simple CPGs (e.g., restricted to a single walking gait). A recent breakthrough at the BCCN at the University of Göttingen, Germany has now allowed to achieve 11 basic behavioral patterns (various gaits, orienting, taxis, self-protection) from a single CPG, closing in on the 10–20 different basic behavioral patterns found in a typical cockroach. The trick: Work with a chaotic, rather than a stable periodic CPG regime. For more on CPGs, listen to the latest episode of the Robots podcast on Chaos Control, which interviews Poramate Manoonpong, one of the lead researchers in Göttingen, and Alex Pitti from the University of Tokyo who uses chaos controllers that can synchronize to the dynamics of the body they are controlling.

Rosie, the robot who kept house for the title family in "The Jetsons," a 1960s animated television show, has at last come alive—sort of. Before you'll see a robot slicing cucumbers in your kitchen, researchers will need to make these mechanical servants smarter. Here's how three teams are tackling this challenge.