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Autonomous learning of vision-based layered object models on mobile robots
2011
2011 IEEE International Conference on Robotics and Automation
Although mobile robots are increasingly being used in real-world applications, the ability to robustly sense and interact with the environment is still missing. A key requirement for the widespread deployment of mobile robots is the ability to operate autonomously by learning desired environmental models and revising the learned models in response to environmental changes. This paper presents an approach that enables a mobile robot to autonomously learn layered models for environmental objects
doi:10.1109/icra.2011.5980435
dblp:conf/icra/LiSZ11
fatcat:s7wa52z52fccxcpjjuam6u6rre