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RAS
2008
109views more  RAS 2008»
13 years 7 months ago
When hard realtime matters: Software for complex mechatronic systems
A still growing number of software concepts and framworks have been proposed to meet the challenges in the development of more and more complex robotic systems, like humanoids or n...
Berthold Bäuml, Gerd Hirzinger
AIPS
2000
13 years 8 months ago
Vision-Servoed Localization and Behavior-Based Planning for an Autonomous Quadruped Legged Robot
Planning for real robots to act in dynamic and uncertain environments is a challenging problem. A complete model of the world is not viable and an integration of deliberation and ...
Manuela M. Veloso, Elly Winner, Scott Lenser, Jame...
AIIDE
2006
13 years 9 months ago
The Self Organization of Context for Learning in MultiAgent Games
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Christopher D. White, Dave Brogan
ROBOCUP
2009
Springer
134views Robotics» more  ROBOCUP 2009»
14 years 2 months ago
Learning Complementary Multiagent Behaviors: A Case Study
As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...
Shivaram Kalyanakrishnan, Peter Stone
ROBOCUP
2005
Springer
123views Robotics» more  ROBOCUP 2005»
14 years 29 days ago
Mobile Robot Communication Without the Drawbacks of Wireless Networking
Abstract. The default solution for mobile robot communication is RFnetworking, typically based on one of the IEEE 802.11 standards also known as WLAN technology. Radio communicatio...
Andreas Birk 0002, Cosmin Condea