Autor: |
Visser, A., Nguyen, Q., Terwijn, B., Hueting, M., Jurriaans, R., van der Veen, M., Formsma, O., Dijkshoorn, N., van Noort, S., Sobolewski, R., Flynn, H., Jankowska, M., Rath, S., de Hoog, J. |
Přispěvatelé: |
Amsterdam Machine Learning lab (IVI, FNWI) |
Rok vydání: |
2010 |
Zdroj: |
Proceedings CD-ROM of the 14th RoboCup Symposium |
Popis: |
With the progress made in active exploration, the robots of the Joint Rescue Forces are capable of making deliberative decisions about the distribution of exploration locations over the team. Experiments have been done which include information exchange between team-members at rendez-vous points. Last year progress has been made with robots with advanced mobility, such as the Kenaf and the AirRobot. Currently our navigation algorithms are extended to be able to autonomously explore with the AirRobots. Robots equipped with both camera and laser-range scanners can learn a visual classifier of free space, which could be used by robots without laser-range scanners to navigate through the environment. Part of our algorithms have been validated on the Nomad Super Scout II robot available in our laboratory. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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