More Applications The FASTlab works in a growing array of application areas. fastlab Big Ideas People Stuff An Integrated System for Multi-Rover Scientific Exploration Tara Estlin, Alexander Gray, Tobias Mann, Gregg Rabideau, Rebecca Castano, Steve Chien, and Eric Mjolsness National Conference on Artificial Intelligence (AAAI) 1999 A system integrating machine learning and planning techniques for autonomous goal-directed planetary exploration by a coordinated team of rovers. [pdf] Abstract: This paper describes an integrated system for coordinating multiple rover behavior with the overall goal of collecting planetary surface data. The Multi-Rover Integrated Science Understanding System combines concepts from machine learning with planning and scheduling to perform autonomous scientific exploration by cooperating rovers. The integrated system utilizes a novel machine learning clustering component to analyze science data and direct new science activities. A planning and scheduling system is employed to generate rover plans for achieving science goals and to coordinate activities among rovers. We describe each of these components and discuss some of the key integration issues that arose during development and influenced both system design and performance. @inproceedings{estlin1999rovers, title = "{An Integrated System for Multi-Rover Scientific Exploration}", author = "Tara Estlin and Alexander G. Gray and Tobias Mann and Greg Rabideau and Rebecca Casta\~{n}o and Eric Mjolsness and Steve Chien", booktitle = "Proceedings of the Seventeenth National Conference on Artificial Intelligence (AAAI)", year = "1999" } Iin progress Fast Search for Particle Events The first algorithmic approach to interactive-time search for trigger events, for the Large Hadron Collider.