Minnesota Interactive Robotics and Vision Laboratory
The Minnesota Interactive Robotics and Vision Laboratory at the University of Minnesota develops advanced autonomous underwater vehicles powered by artificial intelligence for marine research and conservation. The lab focuses on AUV systems that can autonomously collect environmental data and navigate complex underwater environments.
Notable achievements
NSF-funded research on AI-powered AUVs for marine conservation and ecosystem monitoring
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
Optimal design of supercritical CO2 Brayton cycle driven by heat pipe reactor under realistic constraints for underwater robotics
Shengyu Shen, Guofeng Fan, Menglin Zhao +2 more
Energy Conversion and Management · 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
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
Bioinspired underwater robotics: Advances across the materials, design, control, and applications
Dilip Muchhala, Pramod Kumar Maurya, Adarsh Raut +3 more
Robotics and Autonomous Systems · 2026
Forecasting Conceptual Diffusion in Science: The Case of Quantum Computing
Thomas Maillart, Thibaut Chataing, David Dosu +3 more
2026