Human Recognition and Following of a Robot with Multi-Sensing Models
Date Issued
2016
Date
2016
Author(s)
Kuok, Chon-Kit
Abstract
In recent years, robots are assimilated into humans’ life. Service robots are built for making people more convenient and more comfortable. A robot is not just a machine. It should be capable of interacting with people appropriately and moving in the surroundings smoothly. This thesis attempts to develop a shopping assistant robot system. It can recognize a specific user, automatically follow him and search for him. SLAMMOT is used in the robot for understanding environments, localizing itself and locating the user. If the robot loses the tracking user, it searches for the user and causes the user can be found in the view of the robot. In addition, the human recognition system is constructed to recognize the specific user. The proposed system has been justified in experiments. The results are promising.
Subjects
User Recognition
Human-Robot Interaction
Following
Mobile Robot
Multimodal Fusion
Type
thesis
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