Field Robotics Group
The Field Robotics Group at University of Michigan combines robotics, computer vision, and machine learning to enable autonomy in dynamic, unstructured, and remote environments. Research focuses on practical autonomous systems for challenging field conditions.
Notable achievements
Research in enabling autonomy for remote and unstructured environments
Notable work
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
A fusion prediction model of tool wear based on physical information and machine learning in five-axis milling TC4 titanium alloy
Shaoqing Qin, Lida Zhu, Yanpeng Hao +7 more
Robotics and Computer-Integrated Manufacturing · 2026
Generalized machine learning model for deformation prediction and compensation in robotic machining
Taehwa Hong, Gyuho Kim, Seong Hyeon Kim +1 more
Robotics and Computer-Integrated Manufacturing · 2026
Integrating computer vision and Kalman filter in an assistive system for visually impaired individuals to predict hand-object interaction
Amirmohammad Barsalani, Arman Mardani, Hamidreza Daniali
Robotics and Autonomous Systems · 2026
A machine learning–based tool for enhancing position accuracy in industrial robots with a reduced dataset
Giuseppe Romano, Pietro Bilancia, Alberto Locatelli +3 more
Robotics and Computer-Integrated Manufacturing · 2026
The Moon needs robots.
Murphy RR
Science robotics · 2026
Machine learning and mathematical modeling for comparative analysis of green-synthesized ZnO nanoparticles as seed nano-priming agents for linseed.
Şavşatlı Y, Aasim M, Katırcı R +2 more
Frontiers in plant science · 2026