His research interests include robotics, sensor networks and computer vision. Specifically, he focuses on designing robotic sensing systems that can operate autonomously in dynamic and complex environments. As an Institute on the Environment resident fellow, Isler has been working with field scientists on building autonomous data-collection systems. Toward this end, his group built a robotic boat for tracking invasive carp in Minnesota lakes and a land-based robotic data-mule system for collecting data from stationary wireless sensors. More information about these projects, including videos from field experiments, can be found on the Robotic Sensor Networks Lab page: http://rsn.cs.umn.edu/