According to International Federation of Robotics (IFR) by 2020 more than 1.7 million new industrial robots will be installed in factories worldwide. A new generation of industrial robots will pave the way for ever more flexible automation. (more…)
Berkeley Lab and JBEI Researchers Develop a Biology-Friendly Robot Programming Language
Teaching a robot a new trick is a challenge. You can’t reward it with treats and it doesn’t respond to approval or disappointment in your voice. For researchers in the biological sciences, however, the future training of robots has been made much easier thanks to a new program called “PaR-PaR.”
Nathan Hillson, a biochemist at the U.S. Department of Energy (DOE)’s Joint BioEnergy Institute (JBEI), led the development of PaR-PaR, which stands for Programming a Robot. PaR-PaR is a simple high-level, biology-friendly, robot-programming language that allows researchers to make better use of liquid-handling robots and thereby make possible experiments that otherwise might not have been considered. (more…)
With the recent advancements in robotics, automation, navigation, and self-driving vehicles, all spurred on by the DARPA Challenge and the research at Georgia Tech among other programs, it’s no surprise to hear that Google has been working very hard on these same kinds of technology.
Sebastian Thrun, Distinguished Software Engineer at Google, recently announced on their blog that so far Google’s efforts to create a self-driving car have been largely successful, though he made it a point to say that the program was still very much in the experimental stages. (more…)
