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

Assistant Professor, Department of Computer Science & Engineering
141 Shepherd Labs

Professor, CSE Distinguished Professor, Distinguished University Teaching Professor, Department of Computer Science & Engineering

Professor, Department of Computer Science & Engineering

Assistant Professor, Department of Computer Science & Engineering
259 Shepherd Labs

Professor, McKnight Presidential Endowed Professor, Distinguished McKnight University Professor, Director of Graduate Studies for Robotics, Minnesota Robotics Institute Director, Department of Computer Science & Engineering

Associate Professor, McKnight Presidential Fellow, Department of Computer Science & Engineering

Associate Professor, Department of Computer Science & Engineering

Professor, Department of Computer Science & Engineering

Assistant Professor, Department of Computer Science & Engineering

Associate Professor, Department of Computer Science & Engineering
Affiliated Faculty

Professor, Distinguished University Teaching Professor, Director of Graduate Studies for Data Science, Department of Computer Science & Engineering

Professor, Director of Graduate Studies for Cognitive Science, Department of Computer Science & Engineering

Regents Professor, William Norris Land Grant Chair in Large-Scale Computing, Data Science Initiative Director, Department of Computer Science & Engineering

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