The US National Robotics Roadmap was first created 14 years ago. It has since been used by government agencies, universities and companies as a reference about where robotics is going. The first roadmap was published 2009, then revised 2013, 2016 and 2020. The objective is to publish the 5th version of the roadmap by spring 2024. Due to major changes in the world and the robotics landscape, the CCC published a Mid-Cycle Update to the US National Robotics Roadmap this past April. The objective is to engage about 150–200 people from academia and industry to ensure that the roadmap is representative of the community’s view of where robotics is going. […]

The US National Robotics Roadmap was first created 14 years ago. It has since been used by government agencies, universities and companies as a reference about where robotics is going. The first roadmap was published 2009, then revised 2013, 2016 and 2020. The objective is to publish the 5th version of the roadmap by spring 2024. Due to major changes in the world and the robotics landscape, the CCC published a Mid-Cycle Update to the US National Robotics Roadmap this past April. The objective is to engage about 150–200 people from academia and industry to ensure that the roadmap is representative of the community’s view of where robotics is going. […]

In honor of National Robotics Week, the Computing Community Consortium is releasing a mid-cycle update to the US National Robotics Roadmap. The US National Robotics Roadmap is updated every four years. Since the last update in September 2020, the world has changed significantly. The COVID pandemic has slowed, there is another administration in Washington, the National Robotics Initiative has officially ended, and the political climate for international trade is constantly changing. Given all these aspects, the Computing Community Consortium (CCC) is publishing a minor revision of the roadmap before the next regular update in 2024. In November, the CCC published a call for contributions and input from the community. In […]

Through support from the Computing Community Consortium (CCC), the US National Robotics Roadmap was first created thirteen years ago by a group of 120 people from industry and academia. It has since been used by government agencies, universities and companies as a reference and call to action from the robotics community. The first roadmap was published in 2009, then revised in 2013, 2016, and 2020.  Our objective is to develop a short mid-cycle update, identifying gaps that are not being addressed in current research, in funding opportunities, at companies, and in the government, which need to be addressed sooner than the next full roadmap update. To meet this objective, we […]

This month marks the 35th anniversary of the National Science Foundation’s (NSF) Computer and Information Science and Engineering (CISE) Directorate. CISE was founded on May 1, 1986, and it continues to support “investigator-initiated research and education in all areas of computer and information science and engineering,” including the Computing Community Consortium (CCC), which CISE funds through a cooperative agreement with the Computing Research Association.  Highlighted in their May newsletter, “One of CISE’s key early investments in information technology was the Digital Libraries Initiative (DLI). This initiative provided global, multilingual repositories of data, knowledge, sound, and images. Through the DLI, NSF supported a project that would ultimately result in the creation of Google.”    The National […]

On behalf of the National Science and Technology Council’s Select Committee on Artificial Intelligence, the Networking and Information Technology Research and Development (NITRD) National Coordination Office has released a Request for Information (RFI) on updates to the 2016 National Artificial Intelligence Research and Development Strategic Plan. The 2016 National Artificial Intelligence Research & Development Strategic Plan focused on research areas that industry is considered unlikely to address and identified 7 strategies for Federally-funded AI research: Strategy 1: Make long-term investments in AI research. Prioritize investments in the next generation of AI that will drive discovery and insight and enable the United States to remain a world leader in AI. Strategy 2: Develop […]