The 'Ladybird' was designed and built specifically for the vegetable industry with the aim of creating a ground robot with supporting intelligent software and the capability to conduct autonomous farm surveillance, mapping, classification, and detection for a variety of different vegetables.
A new generation of miniature biological robots is flexing its muscle. Engineers at the University of Illinois at Urbana-Champaign demonstrated a class of walking 'bio-bots' powered by muscle cells and controlled with electrical pulses, giving researchers unprecedented command over their function
Student teams controlling underwater robots from the United States, Canada and Russia were the winners Saturday in a global competition at the only federal freshwater marine sanctuary in the United States.
From June 5-6, 2015, California will be the stage for the DARPA Robotics Challenge Finals. Teams from around the world will meet at Fairplex in Pomona to compete for the $2 million prize to be awarded to the team that best demonstrates human-supervised robot technology for disaster response.
Robonaut, a human-like robot designed by NASA and General Motors, has been on the International Space Station since February 2011. Researchers have been testing the robot's ability to perform certain tasks to free up human crew time and energy.
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.