University of Michigan Field Robotics Group
Welcome to the University of Michigan Field Robotics Group (FRoG)! Our research spans robotics, computer vision, and machine learning with a focus on enabling autonomy in dynamic, unstructured, or remote environments across field robotics applications.
^2023 Michigan Emmy Award Winner (congratulations to Marcin Szczepanski and Gabe Cherry!)
Recent News
FRoG PhD Candidate Anja Sheppard's paper "Learning Surface Terrain Classifications from Ground Penetrating Radar" was accepted into CVPR Perception Beyond the Visible Spectrum Workshop 2024!
FRoG PhD Candidate Jingyu Song's paper "CRKD: Enhanced Camera-Radar Object Detection with Cross-modality Knowledge Distillation" was accepted into CVPR 2024!
FRoG PhD Candidate Advaith Sethuraman's work "Learning Which Side to Scan: Multi-View Informed Active Perception with Side Scan Sonar for Autonomous Underwater Vehicles" was accepted to ICRA 2024!
The lab's newest dataset was featured on the University of Michigan Library's blog, Bits & Pieces.
The FRoG lab released the AI4SHIPWRECKS dataset, a new sidescan sonar dataset focused on the problem of object detection. The paper website, paper preprint, and dataset are online.
FRoG PhD Candidate Anja Sheppard conducted field research at the Mars Desert Research Station in Utah.
FRoG PhD Candidate Advaith Sethuraman presented "Integrating Machine Learning with GIS Tools for Automated Shipwreck Detection from Sonar Imagery" at the Society for Historical Archaology Conference on Historical and Underwater Archaeology 2024.
Prof. Katie Skinner participated in several workshops and presentations at IROS 2023:
First Workshop on Photorealistic Image and Environment Synthesis for Robotics (PIES-Rob) (Full day workshop on Sunday, Oct. 1st)
Presentation on "Leveraging Synthetic Data for Learning-Based Marine Robot Perception" at the PIES-Rob Workshop
Workshop on Novel Sensors for Autonomous Vehicle Perception (Half-day workshop on Sunday, Oct. 1st)
Presentation at the Workshop on Robotic Perception and Mapping: Frontier Vision & Learning Techniques (ROPEM)
FRoG PhD Candidate Advaith Sethuraman presented "STARS: Zero-shot Sim-to-Real Transfer for Segmentation of Shipwrecks in Sonar Imagery" at the 2023 British Machine Vision Conference (BMVC). *selected for oral presentation
FRoG PhD Student Anja Sheppard presented "Automatic Data Processing for Space Robotics Machine Learning" at the International Astronautical Congress (IAC) 2023.