Professor Volkan Isler

CSENG Computer Science & Eng
College of Science & Engineering
Twin Cities
Project Title: 
Optimization and Learning Algorithms for Computer Vision Tasks for Environmental Monitoring Projects

These researchers are using deep learning-based approaches to solve many relevant computer vision problems that come up in robotics planning tasks. The first such problem is concerned with designing autonomous weed mowing robots. In particular, the group studies the problem of how to accurately detect the weeds on cow pastures and to learn stable navigation strategies for autonomous weed mowing. Training any modern network architecture in a feasible amount of time has become costly even for modern machines with high-end graphics cards. The researchers mainly use the GPU nodes on the Mangi cluster, with their large GPU memory footprints, to train the models.

Research by this group was featured on the MSI website in June 2021: Improving Robot Learning Through Visual Forecasting.

Project Investigators

Jun-Jee Chao
Claire Chen
Kazim Selim Engin
Burak Mert Gonultas
Nicolai Haeni
Professor Volkan Isler
Qingyuan Jiang
Rahul Moorthy Mahesh
Parikshit Maini
Oguzhan Goktug Poyrazoglu
Burak Susam
Jiacheng Yuan
Are you a member of this group? Log in to see more information.