NASA's newest plan is to launch crewed missions to Mars in the 2030s, and we'll need the most advanced and reliable space technology to help get us there safe and sound. That's where HAL 9000 – the villainous, insane killbot from 2001: A Space Odyssey – comes in. Believe it or not, sci-fi's most notorious murder machine was the inspirational basis for a new HAL-like cognitive computer system designed to autonomously run planetary space stations for real one day. If you're thinking oh god no please god no don't worry. AI and robotics developer Pete Bonasso from Houston-based TRACLabs says his new CASE prototype ("cognitive architecture for space agents") mimics HAL purely in a technological sense – ie.

The supercomputer HAL 9000, which is best remembered for killing astronauts in the '2001: A Space Odyssey' has been recreated by scientists to aid astronauts in space. The new prototype, which has been developed by Texan company TRACLabs Inc, has successfully controlled a simulated planetary base for hours and can display information such as life support and robot status. In the movie, HAL 9000 is the artificial intelligence controlling the nuclear-powered Discovery One spaceship. In the novel by science-fiction legend Arthur C. Clarke written alongside the film, the computer is described as capable of talking with astronauts'in the perfect idiomatic English he had learned during the fleeting weeks of his electronic childhood.' Artificial intelligence researcher Pete Bonasso at TRACLabs had first saw '2001: A Space Odyssey' in his senior year at West Point university, where he programmed the academy's lone computer to play a virtual version of pool, and since then has set about trying to create something just like it.

After a summary of the rules, we outline the high and low points of the competition. Then we suggest ways such competitions could better accommodate new teams in the future. As early as 1993, it was apparent that industrial vacuuming robots were emerging as autonomous and well behaved at least in large industrial areas (Bonasso, Miller, and Kuipers 1993). Devising a sweep pattern on a bounded uncluttered surface to ensure complete coverage is a well-formed and solved problem. AI had nothing to contribute with regard to the basic cleaning task.

Summer 2001 marked the tenth AAAI Mobile Robot Competition and Exhibition. A decade of contests and exhibitions have inspired innovation and research in AI robotics. Here we look back at the origins of the contest and how it evolved. We also reflect on how the contest has served as an arena for important debates in the AI and robotics communities. The article closes with a speculative look forward to the next decade of AAAI robot competitions.

This article discusses our experience building and running an intelligent control system during a three-year period for a National Aeronautics and Space Administration advanced life support (ALS) system. The system under test was known as the Integrated Water-Recovery System (IWRS). We used the 3T intelligent control architecture to produce software that operated autonomously, 24 hours a day, 7 days a week, for 16 months. The article details our development approach, the successes and failures of the system, and our lessons learned. We conclude with a summary of spin-off benefits to the AI community and areas of AI research that can be useful for future ALS systems.

After a summary of the rules, we outline the high and low points of the competition. Devising a sweep pattern on a bounded established in past contests. The only wrinkle uncluttered surface to ensure complete coverage concerned bag capacity: if the robot encountered is a well-formed and solved problem. A domestic or small office venue offered Points were awarded for cleaning the messes more complexity. The areas were smaller and (or just moving over them) and making contained more furniture.