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» Learning Behaviors Models for Robot Execution Control
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SEUS
2005
IEEE
15 years 9 months ago
Measurement-Based Worst-Case Execution Time Analysis
In the last years the number of electronic control systems has increased significantly. In order to stay competitive more and more functionality is integrated into more and more p...
Ingomar Wenzel, Raimund Kirner, Bernhard Rieder, P...
CDC
2008
IEEE
202views Control Systems» more  CDC 2008»
15 years 10 months ago
Integrating human and robot decision-making dynamics with feedback: Models and convergence analysis
— Leveraging research by psychologists on human decision-making, we present a human-robot decision-making problem associated with a complex task and study the corresponding joint...
Ming Cao, Andrew Reed Stewart, Naomi Ehrich Leonar...
ICRA
2003
IEEE
111views Robotics» more  ICRA 2003»
15 years 9 months ago
Multi-robot team response to a multi-robot opponent team
Adversarial multi-robot problems, where teams of robots compete with one another, require the development of approaches that span all levels of control and integrate algorithms ra...
James Bruce, Michael H. Bowling, Brett Browning, M...
ICRA
2007
IEEE
110views Robotics» more  ICRA 2007»
15 years 10 months ago
A Reinforcement Learning Approach to Lift Generation in Flapping MAVs: Experimental Results
— In [17] we proposed an RL framework for control of flapping-wing MAVs. The algorithm has been discussed and simulation results using a quasi-steady model showed initial promis...
Mehran Motamed, Joseph Yan
136
Voted
ESANN
2001
15 years 5 months ago
Motor control and movement optimization learned by combining auto-imitative and genetic algorithms
In sensorimotor behaviour often a great movement execution variability is combined with a relatively low error in reaching the intended goal. This phenomenon can especially be obse...
Karl-Theodor Kalveram, Ulrich Nakte