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» Urologic robots and future directions
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AROBOTS
2007
119views more  AROBOTS 2007»
13 years 11 months ago
Development environments for autonomous mobile robots: A survey
Robotic Development Environments (RDEs) have come to play an increasingly important role in robotics research in general, and for the development of architectures for mobile robot...
James F. Kramer, Matthias Scheutz
ICRA
2009
IEEE
165views Robotics» more  ICRA 2009»
14 years 5 months ago
Robust servo-control for underwater robots using banks of visual filters
—We present an application of machine learning to the semi-automatic synthesis of robust servo-trackers for underwater robotics. In particular, we investigate an approach based o...
Junaed Sattar, Gregory Dudek
IJCAI
2003
14 years 7 days ago
Where is ...? Learning and Utilizing Motion Patterns of Persons with Mobile Robots
Whenever people move through their environments they do not move randomly. Instead, they usually follow specific trajectories or motion patterns corresponding to their intentions....
Grzegorz Cielniak, Maren Bennewitz, Wolfram Burgar...
IROS
2006
IEEE
163views Robotics» more  IROS 2006»
14 years 4 months ago
Robotic On-Orbit Servicing - DLR's Experience and Perspective
The increasing number of launched satellites per year, calls for solutions to keep free operational space for telecommunication systems in geo-synchronized orbit, as well as to av...
Klaus Landzettel, Carsten Preusche, Alin Albu-Sch&...
IDEAL
2009
Springer
14 years 3 months ago
The Winning Advantage: Using Opponent Models in Robot Soccer
Opponent modeling is a skill in multi-agent systems (MAS) which attempts to create a model of the behavior of the opponent. This model can be used to predict the future actions of ...
José Antonio Iglesias, Juan Antonio Fern&aa...