A Bio-Robotic Cooperation Hybrid System: Integrating Canine Olfaction Sensing and Machine Intelligence for Odor Removal

This study proposes a dog-robot hybrid intelligent system with multi-modal perception fusion for odor target search and removal tasks. By integrating the dog's ultrasensitive olfaction with robotic autonomy, it establishes a closed-loop workflow of olfactory perception-behavioral analysis-spatial localization autonomous removal. In the hybrid system, the dog searches for the odor source and sits down to indicate its success in odor searching, and the robot detects the dog's behavior, determines the odor position and then move to grasp the odor target using its machine intelligence. It achieves robust parsing of canine sniffing behavior and dynamic decision-making on dangerous targets. Experimental results indicate that in a 3m×4m simulated scenario, the system achieved a 66.67% success rate in identifying and removing odor sources, significantly reducing personnel exposure risks.