Robotic Sensor Networks Lab
Welcome to the Robotic Sensor Networks Lab! These pages highlight our research in robotics and sensing in agriculture and environmental monitoring. For additional information, you can visit our lab wiki or contact Volkan Isler.
Autonomous Aerial Vehicles
We have developed autonomous aerial platforms capable of navigating in tight orchard rows and multi-robot systems capable of tracking tagged animals. Capabilities: vision-based obstacle avoidance, multi-uav communication and coordination, coverage and search algorithms.
Semantic Mapping of Orchards
We have been working on image based yield mapping to map the count, diameter and other features of apples in orchards.
In addition to fruit related aspects, our lab has developed tools and algorithms to extract information related to plant morphology such as tree volume and trunk diameter.
Row Crop Monitoring
Similar to our work on orchards and specialty fruit, we have also developed computer vision algorithms to reconstruct fields and extract semantic information such as locations of rows, and plant height variation along the row.
We developed networks of autonomous boats and aerial vehicles capable of finding tagged animals (fish, bears, moose etc.) and localizing them.
We gratefully acknowledge support from the National Science Foundation, US Department of Agriculture and Minnesota MnDrive Initiative.