Photo of Julie Adams and Heather Knight with a robot

Overview

The Artificial Intelligence and Robotics (AIR) group studies theory, algorithms, and systems for making intelligent decisions in complex and uncertain environments. The research covers most aspects of AIR including perception and interpretation of sensor data, learning about environments, learning to make decisions, automated planning and reasoning, and interaction of AIR systems with each other and with humans. The group studies AIR systems for both virtual and physical worlds under varying levels of autonomy, ranging from decision support systems to full autonomy.

The research is grounded in a wide range of applications. Example decision support applications include forest fire management, species conservation, emergency response, and precision agriculture. Our robotics applications include intelligent wheel chairs, ocean exploration, medical applications, and agriculture.

The faculty members in this research group are also part the Collaborative Robotics and Intelligent Systems (CoRIS) Institute. This interdisciplinary group is made up of 25 core faculty researchers and 180 graduate students, and another 40 collaborators across the university who apply robotics and AI in their work. The institute is committed to exploring the impact of robotics and AI on individuals and society through its three principal impact areas: academics, research, and deployed systems and policy.

Dietterich Turner oregon state artificial intelligenceHow do you integrate ethics, policy, and practicality into the design of revolutionary robotics and artificial intelligence systems? Professors Kagan Tumer and Tom Dietterich are collaborating to find out as they help lead the Oregon State Collaborative Robotics and Intelligent Systems Institute.

Sub Areas

  • Automated Decision Making and Control
  • Machine Learning and Data Mining
  • Computer Vision
  • Natural Language Processing
  • Robotics

Related Courses

  • AI 530 Big Ideas in AI
  • AI 531: Artificial Intelligence
  • AI 533: Intelligent Agents and Decision Making
  • AI 534: Machine Learning
  • AI 535: Deep Learning
  • AI 536: Probabilistic Graphical Models
  • AI 537: Computer Vision
  • AI 538: Natural Language Processing
  • AI 637: Computer Vision II
  • AI 539: ST/Natural Language Processing & Deep Learning
  • AI 539: ST/Machine Learning II
  • AI 539: ST/Causal Inference for AI
  • AI 539: ST/Machine Learning Challenges
  • AI 539: ST/Safe and Reliable Autonomy
  • AI 539: ST/Machine Learning Challenges in the Real World
  • AI 539: ST/Advanced Graphical Models
  • AI 539: ST/On-line Learning
  • AI 506: AI Capstone Sequence
  • ECE 565: Estimation, Detection, and Filtering
  • ECE 599: Convex Optimization
  • ROB 514: Introduction to Robotics
  • ROB 521: Applied Robotics
  • ROB 537: Learning-Based Control
  • ROB 534: Sequential Decision Making in Robotics
  • ME 531: Linear Multivariate Control Systems I
  • ME 533: Nonlinear Dynamic Analysis
 

Faculty

Photo of Houssam Abbas

Houssam Abbas
Design, control and verification of cyber-physical systems; ethics in AI

Photo of Julie A. Adams

Julie A. Adams
Distributed artificial intelligence; robotics; human-machine teaming; human-computer interaction; human-robot interaction

Alireza Aghasi

Alireza Aghasi
Data science and machine learning; signal and image processing; optimization theory; statistics and probability theory

Photo of  Jason Clark

Jason Clark
Polymechatronics; electro micro metrology; microrobotics; artificial engineering; computer-aided design and engineering; intelligent tutoring systems

Photo of Tom Dietterich

Tom Dietterich
Machine learning; safe and robust AI systems; sensor networks; intelligent user interfaces

Photo of Alan Fern

Alan Fern
Artificial intelligence, including machine learning, data mining, and automated planning/control

Photo of Xiaoli Fern

Xiaoli Fern
Machine learning; data mining; unsupervised learning; ecosystem informatics; natural language processing

Photo of Xiao Fu

Xiao Fu
Topic modeling; large-scale structured matrix/tensor factorization algorithms; multivew analysis, canonical correlation analysis; hyperspectral imaging

Photo of David Hendrix

David Hendrix
Motif finding; non-coding RNA structure & function analysis; apps of machine learning to computational biology; deep sequencing data analysis

Photo of Sanghyun Hong

Sanghyun Hong
Security, privacy, and machine learning, especially on building secure and reliable AI systems from a systems security perspective

Photo of Liang Huang

Liang Huang
Natural language processing, including parsing and translation; structured machine learning; computational structural biology (RNA and protein folding); deep learning

Photo of Heather Knight

Heather Knight
Human-robot interaction; non-verbal machine communications; non-anthropomorphic social robots

Photo of Stephan Lee

Stefan Lee
Computer vision; natural language processing; deep learning; machine learning

Photo of Fuxin Li

Fuxin Li
Computer vision; deep learning; machine learning; segmentation-based object recognition and scene understanding; spatio-temporal video analysis

Photo of Karthika Mohan

Karthika Mohan
Causal inference; graphical models; AI safety

Photo of Raviv Raich

Raviv Raich
Adaptive sensing/sampling; manifold learning; sparse representations for signal processing

Photo of Stephen Ramsey

Stephen Ramsey
Machine learning; computational systems biology; bioinformatics; integrative computational methods to map gene regulatory networks

Photo of Sandhya Saisubramanian

Sandhya Saisubramanian
Automated planning, reinforcement learning, safe and reliable AI

Photo of Prasad Tadepalli

Prasad Tadepalli
Artificial intelligence; machine learning; automated planning; natural language processing

Photo of Sinisa Todorovic

Sinisa Todorovic
Object recognition; region / shape matching; texture; video object segmentation; stochastic image grammars

Photo of Huazheng Wang

Huazheng Wang
Machine learning; reinforcement learning; information retrieval; data mining

Photo of Weng-Keen Wong

Weng-Keen Wong
Machine learning; probabilistic graphical models; anomaly detection; human-in-the-loop learning; computational sustainability

Affiliated Faculty

Photo of Ravi Balasubramanian

Ravi Balasubramanian
Robust operation in unstructured environments; neural control and biomechanics

Photo of Lizhong Chen

Lizhong Chen
CPU and GPU architecture; high-performance computing; machine learning accelerators; data centers; natural language processing

Matt Campbell

Matt Campbell
Design automation and optimization; graph topology optimization; artificial intelligence in engineering design; automated manufacturing planning; product design and development

Photo of Geoffrey Hollinger

Geoffrey Hollinger
Planning, coordination, and learning techniques for autonomous robotic systems

Photo of William Smart

William Smart
Improving interactions between people and robots; enabling robots to be self-sufficient; robots as personal assistants for people with severe motor disabilities

Photo of Kagan Tumer

Kagan Tumer
Learning, optimization & control in large complex systems; learning & coordination in multiagent systems; distributed reinforcement learning; evolutionary algorithms for control & optimization