Computer scientists have shown that crowdsourcing can be a quick and effective way to teach a robot how to complete tasks. Instead of learning from just one human, robots could one day query the larger online community, asking for instructions or input on the best way to set the table or water the garden.
In the coming decades, we will likely commute to work and explore the countryside in autonomous, or driverless, cars capable of communicating with the roads they are traveling on. A convergence of technological innovations in embedded sensors, computer vision, artificial intelligence, control and automation, and computer processing power is making this feat a reality.
In his Robot Learning Lab, Ashutosh Saxena, assistant professor of computer science at Cornell University, is teaching robots to understand instructions in natural language from various speakers, account for missing information, and adapt to the environment at hand.
Researchers have developed a technique that might be used to produce 'soft machines' made of elastic materials and liquid metals for potential applications in robotics, medical devices and consumer electronics.
Computer scientists from the University of Washington and the Allen Institute for Artificial Intelligence in Seattle have created the first fully automated computer program that teaches everything there is to know about any visual concept.
Sophia Mitchell's latest paper, Precision Route Optimization using Fuzzy Intelligence, is getting international attention with her invitation to the International Conference on Awareness Science and Technology in Paris, France.
Researchers invented a welding tool that also functions as a temperature sensor. The temperature is measured continuously and, if it becomes too hot, the heat is regulated by controlling the force and tool rotation. The researchers have also made use of an industrial robot to perform the welds and achieve a constant welding quality.
While civil aviation is on the threshold of potentially revolutionary changes with the emergence of increasingly autonomous unmanned aircraft, these new systems pose serious questions about how they will be safely and efficiently integrated into the existing civil aviation structure, says a new report from the National Research Council.
Engineers developed a simulation model that calculates the best trajectories for robots from the standpoint of energy efficiency. Tests have shown that this approach can reduce energy consumption by up to half.
Teamwork between humans and robots will be the motto of the future. But robots may not injure humans at all. When does contact cause an injury, though? Researchers are exploring this for the first time in a study.