Project CETI employs a new reinforcement learning framework using autonomous drones to locate and predict sperm whale surfacing, enhancing communication research and conservation efforts.
The research utilizes aerial drones equipped with VHF signal sensing, combining sensor data to forecast sperm whale behavior, aiding in effective data collection and conservation strategies.
By integrating advanced sensor technology and predictive modeling, the study demonstrates the potential for optimized drone routes to increase whale encounters and improve marine conservation.
The AVATARS framework innovatively combines autonomy and sensing, allowing autonomous drones to enhance whale tracking accuracy and inform decision-making to prevent ship strikes.
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