Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describes how to integrate tracking functions on a mobile robot. Tracking is required during autonomous robot navigation in different situations: landmark tracking to guarantee real-time robot localization, target tracking for a sensor based motion or obstacle tracking to control an obstacle avoidance procedure. These objects - landmarks, targets, and obstacles - have different characteristics: this paper shows that a single tracking method could not overcome all the tracking tasks. Several methods must be integrated on the robot. A tracker controller is in charge to activate a specific method with respect to the object type and to a transition model used to recover the tracking failures. This method is validated using four trackers, based on: template differences, set of points, lines and snakes. Experimental results provided on numerous image sequences are presented.
['Antonio Marin-Hernandez', 'Victor Ayala-Ramirez', 'Michel Devy']
I am writing a research paper on a idea Collaborative tracking for robotic tasks
[{"from": "human", "value": "I am writing a research paper on a idea Collaborative tracking for robotic tasks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describes how to integrate tracking functions on a mobile robot. Tracking is required during autonomous robot navigation in different situations: landmark tracking to guarantee real-time robot localization, target tracking for a sensor based motion or obstacle tracking to control an obstacle avoidance procedure. These objects - landmarks, targets, and obstacles - have different characteristics: this paper shows that a single tracking method could not overcome all the tracking tasks. Several methods must be integrated on the robot. A tracker controller is in charge to activate a specific method with respect to the object type and to a transition model used to recover the tracking failures. This method is validated using four trackers, based on: template differences, set of points, lines and snakes. Experimental results provided on numerous image sequences are presented."}]