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» Learning Behaviors Models for Robot Execution Control
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IROS
2007
IEEE
132views Robotics» more  IROS 2007»
15 years 10 months ago
Hysteretic q-learning : an algorithm for decentralized reinforcement learning in cooperative multi-agent teams
— Multi-agent systems (MAS) are a field of study of growing interest in a variety of domains such as robotics or distributed controls. The article focuses on decentralized reinf...
Laëtitia Matignon, Guillaume J. Laurent, Nadi...
WSCG
2004
158views more  WSCG 2004»
15 years 5 months ago
Robot Hand Visual Tracking Using an Adaptive Fuzzy Logic Controller
This paper presents an algorithm to track an industrial robot hand during its movement. Based on acquired image and knowing the robot hand model, the pose is obtained. This inform...
Carlos Pérez, Óscar Reinoso, Maria A...
EPIA
2005
Springer
15 years 9 months ago
Acquiring Observation Models Through Reverse Plan Monitoring
We present a general-purpose framework for updating a robot’s observation model within the context of planning and execution. Traditional plan execution relies on monitoring plan...
Sonia Chernova, Elisabeth Crawford, Manuela M. Vel...
NN
2008
Springer
15 years 2 months ago
Sensory adaptation in human balance control: Lessons for biomimetic robotic bipeds
- This paper describes mechanisms used by humans to stand on moving platforms, such as a bus or ship, and to combine body orientation and motion information from multiple sensors i...
Arash Mahboobin, Patrick J. Loughlin, Mark S. Redf...
ICRA
2007
IEEE
148views Robotics» more  ICRA 2007»
15 years 10 months ago
Seamless Execution of Action Sequences
— One of the most notable and recognizable features of robot motion is the abrupt transitions between actions in action sequences. In contrast, humans and animals perform sequenc...
Freek Stulp, Wolfram Koska, Alexis Maldonado, Mich...