Nanorobotics is about creating robots which are so small they are nearly invisible to the naked eye. Operating as a swarm, these tiny robots have the promise to do some really incredible things.
This is the second of a 4-part series by KC Robotics about the automated arc welding industry.
From Parrot :
From the Rex Kickstarter : Why do you want Rex? There are two general classes of electronics used in robot hardware: microcontrollers (ex. Arduino) and single-board computers. Microcontrollers are great for projects that only require a single program to be run, quickly and without overhead, like controlling LEDs and motors. Single-board computers are great for anything you'd need a cheap, small computer for - like networking applications and image processing. Advanced autonomous robots require the strengths of both. A system developed around Rex, being made specifically for robots, brings it all together in one nice little package in a way that has never been done before. Hardware Specs: Texas Instruments DM3730 1GHz 32-bit ARM Cortex-A8 Processor core 800MHz DSP core 512MB LPDDR RAM USB Host port MicroSD slot Camera Module port 3.5mm Audio-in jack 3.5mm Audio-out jack 5V DC input for desktop development Each Rex will come pre-installed with Alphalem OS, a FOSS custom linux distribution. It includes a core set of built-in device drivers - ones that we've hand-picked as being the most useful for robots (like USB WiFi adapters and cameras). We'll publish the list in a wiki on our website. Here are the other main features: An Arduino-style programming environment with support for multiple programming languages (C, C++, Python). A special task manager called the Master Control Program (MCP). An API for message passing in multi-process applications. A standard Linux filesystem which will allow you to install just about any Linux software that can be cross-compiled for ARM. Libraries for common processes such as I2C communication, face detection, and sensor reading.
The two day DARPA Robotics Challenge Trials 2013 officially ended Saturday, December 21 and here are the results.
A force‐controlled robot can be programmed to mimic the movements of a human arm, applying search patterns to find the correct position to assemble a given part.
The DRC Trials are happening today and tomorrow (December 20-21, 2013) at the Homestead-Miami Speedway. Teams will attempt to guide their robots through eight individual, physical tasks that test mobility, manipulation, dexterity, perception, and operator control mechanisms; You can watch the live stream here.
"I've worked a long time to make this happen and am very pleased with the results. It enables investors everywhere to capitalize on the accelerating growth and promising future of robotics." Frank Tobe, Co-founder, Robo-stox LLC and Editor/Publisher, The Robot Report.
These drones are solely surveyors. They must be well equipped to notice when something is out of place or detect potential threats and weapons and alert park rangers immediately.
A robot system, fully deployed is going to give two to three-hundred percent return on investment per year.
New York Times: Over the last half-year, Google has quietly acquired seven technology companies in an effort to create a new generation of robots. And the engineer heading the effort is Andy Rubin, the man who built Google’s Android software into the world’s dominant force in smartphones.... ( full article )
As this technology is still in its infant stages, we do not truly know how efficient the process will be. We can only hope that the technology will be there when the next spill happens.
ABB Robotics has introduced the IRB 6700 robot family, its seventh generation of industry-leading, large industrial robots.
There has to be some way to separate the wheat from the chaff, the frivilous/worthless lawsuits from the honest patents based on hard, sweaty creative efforts that deserve protection.
From Ali Osman Ulusoy, Octavian Biris, Joseph Mundy of Brown University: This paper presents a probabilistic volumetric frame- work for image based modeling of general dynamic 3-d scenes. The framework is targeted towards high quality modeling of complex scenes evolving over thousands of frames. Extensive storage and computational resources are required in processing large scale space-time (4-d) data. Existing methods typically store separate 3-d models at each time step and do not address such limitations. A novel 4-d representation is proposed that adaptively subdivides in space and time to explain the appearance of 3-d dynamic surfaces. This representation is shown to achieve compres- sion of 4-d data and provide efficient spatio-temporal pro- cessing. Theadvancesoftheproposedframeworkisdemon- strated on standard datasets using free-viewpoint video and 3-d tracking applications.... ( full paper )
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