Robotics and Artificial Intelligence









Robotics revolves around the building of intelligent physical machines. Artificial intelligence (AI) implies the use of a computer to model and/or replicate intelligent behavior. Research in AI focuses on the development and analysis of algorithms that learn and/or perform intelligent behavior with minimal human intervention. AI techniques have been and continue to be applied to a broad range of problems that arise in robotics, agriculture, medical diagnosis, gaming, mathematics, and logistics.
Work in this division draws from and contributes to multiple domains:
- Artificial Intelligence studies algorithms and systems in areas such as machine learning, logic, planning, neural networks, inference engines, evolutionary computation, and cognition;
- Robotics designs and creates robotic systems including mobile robots, manipulators, underwater systems, and aerial platforms along with the algorithms that empower them;
- Computer Vision develops algorithms and systems to derive meaningful information from videos, images, and other visual inputs;
- Human-Robot Interaction investigates and creates new techniques for effective interaction of humans with robots;
- Natural Language Processing studies ways to build systems that process text or voice data; and
- Applications use robotics and artificial intelligence to impact domains such as medicine, agriculture, manufacturing, education, logistics, biology, etc.
Core Faculty


Professor, CSE Distinguished Professor, Distinguished University Teaching Professor
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Assistant Professor
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Professor, McKnight Presidential Endowed Professor, Distinguished McKnight University Professor, Director of Graduate Studies for Robotics, Minnesota Robotics Institute Director
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Associate Professor
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Affiliated Faculty

Professor, Distinguished University Teaching Professor, Data Science Director of Graduate Studies, Department of Computer Science & Engineering
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Regents Professor, William Norris Land Grant Chair in Large-Scale Computing, ADC Data Science Initiative Director Chair
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Labs and selected projects
- Applied Motion Lab Stephen Guy
- Artificial Intelligence, Robotics, and Vision Lab Maria Gini, Nikolaos Papanikolopoulos
- Computational Perception and Action Lab Paul Schrater
- Interactive Robotics and Vision Laboratory Junaed Sattar
- MAGNET: Intelligent Agents for Electronic Commerce Maria Gini
- Monitoring Human Activity Nikolaos Papanikolopoulos
- Robotics: Perception and Manipulation (RPM) Lab Karthik Desingh
- Robotic Sensor Networks Lab Volkan Isler
- TAC-SCM: Autonomous Agents for Supply-Chain Management Maria Gini
- Visual Information Processing Lab Catherine Qi Zhao
- Visual Computing and AI Seminar
- UMN Machine Learning Seminar Series