Recent advances in machine and deep learning have improved SLAM techniques, leading to an increased richness in maps, with semantic scene understanding improving localization, mapping quality and robustness.
New approach aims to enhance how robots trained in simulation will perform in the real world.
AI World speakers described bringing human traits, ethics, and lots more data to machine learning applications.
New investment also includes Bossa Nova’s partnership with a major contract manufacturer Flex to increase production of mobile inventory robots.
Artificial intelligence and related technologies have made great strides where large data sets can be analyzed quickly. But experts say there’s still a long way to go before AI applications meet the general intelligence expectations of the public.
At the upcoming Robotics & AI Summit, AI evangelist Chris Benson will speak on practical uses on artificial intelligence and how companies can succeed in deep learning. Here’s a sneak preview of some of the topics Benson will cover.
Among the innovations that IBM says will change the world in the next five years are AI-powered robot microscopes to monitor the oceans and fixing growing AI bias.
At iRex 2017 in Japan, major robotics providers such as FANUC, Yaskawa, and Kawasaki demonstrated how deep learning can be applied to factory automation.