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ICRA
2008
IEEE
124views Robotics» more  ICRA 2008»
14 years 3 months ago
Simultaneous learning of motion and sensor model parameters for mobile robots
— Motion and sensor models are crucial components in current algorithms for mobile robot localization and mapping. These models are typically provided and hand-tuned by a human o...
Teddy N. Yap Jr., Christian R. Shelton
IDA
2003
Springer
14 years 1 months ago
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
Axel Großmann, Matthias Wendt, Jeremy Wyatt
IROS
2007
IEEE
136views Robotics» more  IROS 2007»
14 years 2 months ago
Affordance-based imitation learning in robots
— In this paper we build an imitation learning algorithm for a humanoid robot on top of a general world model provided by learned object affordances. We consider that the robot h...
Manuel Lopes, Francisco S. Melo, Luis Montesano
ROBOCUP
1997
Springer
82views Robotics» more  ROBOCUP 1997»
14 years 23 days ago
Vision-Based Robot Learning Towards RoboCup: Osaka University "Trackies"
Sho'ji Suzuki, Yasutake Takahashi, Eiji Uchibe, Ma...
CRV
2009
IEEE
132views Robotics» more  CRV 2009»
14 years 1 months ago
Canine Pose Estimation: A Computing for Public Safety Solution
In this paper we discuss determining canine pose in the context of common poses observed in Urban Search and Rescue dogs through the use a sensor network made up of accelerometers...
Cristina Ribeiro, Alexander Ferworn, Mieso K. Denk...