Photos by L.A. Cicero The foundation for the artificial skin is a flexible organic transistor, made with flexible polymers and carbon-based materials. "Super skin" is what Stanford researcher Zhenan Bao wants to create. She's already developed a flexible sensor that is so sensitive to pressure it can feel a fly touch down. Now she's working to add the ability to detect chemicals and sense various kinds of biological molecules.
Corporate Profile K-Team Corporation is a Swiss company that develops, manufactures and markets high quality mobile robots for use in advanced education and research. The Khepera and Koala are now a standard for academic research, while the K-Junior robot is designed for teachers and hobbyists. The KoreBot II based on the KoreBot advanced miniature single board controller is a perfect solution for Automation and custom robotics developments. The company's experience in the field of autonomous mobile robotics applications allows it to provide best of breed solutions to the most demanding academic and commercial research laboratories in the world.
In current robotics research there is a vast body of work on algorithms and control methods for groups of decentralized cooperating robots, called a swarm or collective. These algorithms are generally meant to control collectives of hundreds or even thousands of robots; however, for reasons of cost, time, or complexity, they are generally validated in simulation only, or on a group of a few 10s of robots. To address this issue, we present Kilobot, a low-cost robot designed to make testing collective algorithms on hundreds or thousands of robots accessible to robotics researchers. To enable the possibility of large Kilobot collectives where the number of robots is an order of magnitude larger than the largest that exist today, each robot is made with low-cost parts and takes 5 minutes to assemble.
Im Formationsflug ausgeschwärmt - Robotiker am General Robotics, Automation, Sensing and Perception Laboratory (Grasp Lab) der Universität von Pennsylvania in Philadelphia haben Drohnen das geordnete Fliegen in der Gruppe beigebracht. Die Drohnen fliegen zu zweit, aber auch in einer Formation von bis zu 20 Quadcoptern. Die Gruppe kann eine Formation in einer Ebene einnehmen. Die Drohnen können aber auch in dreidimensionale Figuren ausschwärmen, etwa in Form einer Pyramide. Durchs Fenster schwärmen
Learning to Grasp Novel Objects We consider the problem of grasping novel objects, specifically ones that are being seen for the first time through vision. We present a learning algorithm that predicts, directly as a function of the RGB/RGBD image, a point at which to grasp the object.