Towards Robot Incremental Learning Constraints from Comparative Demonstration

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.

Authors

• Rong Zhang
• Shangfei Wang
• Xiaoping Chen
• Dong Yin
• Shijia Chen
• Min Cheng
• Yanpeng Lv
• Jianmin Ji University of Science and Technology of China Institute of Artificial Intelligence, Hefei Comprehensive National Science Center
• Dejian Wang
• Peijia Shen

Keywords

• Intelligent Robot
• Learning from Demonstration