A survey of robot learning from demonstration
Robotics and Autonomous Systems
Developing high-level cognitive functions for service robots
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
A real-time attitude recognition by eye-tracking
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
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This paper presents an attempt on incremental robot learning from demonstration. Based on previously learnt knowledge about a task in simpler situations, a robot learns to fulfill the same task properly in a more complicated situation through analyzing comparative demonstrations and extracting new knowledge, especially the constraints that the task in the new situation imposes on the robot's behaviors.