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» Improving Robot Plans During Their Execution
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ICRA
2009
IEEE
119views Robotics» more  ICRA 2009»
14 years 2 months ago
Dynamically diverse legged locomotion for rough terrain
— In this video, we demonstrate the effectiveness of a kinodynamic planning strategy that allows a high-impedance quadruped to operate across a variety of rough terrain. At one e...
Katie Byl, Russ Tedrake
IROS
2007
IEEE
212views Robotics» more  IROS 2007»
14 years 1 months ago
GPU-accelerated real-time 3D tracking for humanoid locomotion and stair climbing
— For humanoid robots to fully realize their biped potential in a three-dimensional world and step over, around or onto obstacles such as stairs, appropriate and efficient appro...
Philipp Michel, Joel E. Chestnutt, Satoshi Kagami,...
AI
2006
Springer
13 years 7 months ago
Robot introspection through learned hidden Markov models
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
Maria Fox, Malik Ghallab, Guillaume Infantes, Dere...
ISRR
2005
Springer
99views Robotics» more  ISRR 2005»
14 years 1 months ago
On the Probabilistic Foundations of Probabilistic Roadmap Planning
Why is probabilistic roadmap (PRM) planning probabilistic? How does the probability measure used for sampling a robot’s configuration space affect the performance of a PRM plan...
David Hsu, Jean-Claude Latombe, Hanna Kurniawati
IROS
2009
IEEE
177views Robotics» more  IROS 2009»
14 years 2 months ago
A learning approach to integration of layers of a hybrid control architecture
— Hybrid deliberative-reactive control architectures are a popular and effective approach to the control of robotic navigation applications. However, the design of said architect...
Matthew Powers, Tucker R. Balch