Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , autonomous switching beten two basic attention selection mechanisms, i.e., top-down and bottom-up, is proposed. This approach fills a gap in object search using conventional top-down biased bottom-up attention selection, which fails, if a group of objects is searched whose appearances cannot be uniquely described by low-level features used in bottom-up computational models. Three internal robot states, such as observing, operating, and exploring, are included to determine the visual selection behavior. A vision-guided mobile robot equipped with an active stereo camera is used to demonstrate our strategy and evaluate the performance experimentally. This approach facilitates adaptations of visual behavior to different internal robot states and benefits further development toward cognitive visual perception in the robotics domain.
['Tingting Xu', 'Kolja Kühnlenz', 'Martin Buss']
I am writing a research paper on a idea Autonomous Behavior-Based Switched Top-Down and Bottom-Up Visual Attention for Mobile Robots
[{"from": "human", "value": "I am writing a research paper on a idea Autonomous Behavior-Based Switched Top-Down and Bottom-Up Visual Attention for Mobile Robots"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , autonomous switching beten two basic attention selection mechanisms, i.e., top-down and bottom-up, is proposed. This approach fills a gap in object search using conventional top-down biased bottom-up attention selection, which fails, if a group of objects is searched whose appearances cannot be uniquely described by low-level features used in bottom-up computational models. Three internal robot states, such as observing, operating, and exploring, are included to determine the visual selection behavior. A vision-guided mobile robot equipped with an active stereo camera is used to demonstrate our strategy and evaluate the performance experimentally. This approach facilitates adaptations of visual behavior to different internal robot states and benefits further development toward cognitive visual perception in the robotics domain."}]