Artificial Intelligence and Robotics

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.

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A faculty member wearing glasses, smiling. In the background there is a group of people.
How 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

Houssam Abbas

Houssam Abbas

Assistant Professor

houssam.abbas@oregonstate.edu

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

 

Julie A. Adams

Julie A. Adams

Professor

julie.a.adams@oregonstate.edu

Distributed artificial intelligence; robotics; human-machine teaming; human-computer interaction; human-robot interaction

Alireza Aghasi

Alireza Aghasi

Associate Professor

alireza.aghasi@oregonstate.edu

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

Profile picture of Jason Clark.

Jason Clark

Associate Professor of Practice

jason.clark@oregonstate.edu

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

A profile picture of Thomas G Dietterich.

Thomas G. Dietterich

Distinguished Professor Emeritus

tgd@oregonstate.edu

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

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Patrick Donnelly

Assistant Professor

Patrick.Donnelly@osucascades.edu

Deep learning from non-speech audio; educational data mining from audio; large imbalanced datasets; machine learning in the musical domain

Alan Fern

Alan Fern

Professor

alan.fern@oregonstate.edu

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

A profile picture of Xiaoli Fern.

Xiaoli Fern

Associate Professor

xfern@eecs.oregonstate.edu

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

A profile picture of Xiao Fu.

Xiao Fu

Assistant Professor

xiao.fu@oregonstate.edu

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

David Hendrix

David Hendrix

Associate Professor

david.hendrix@oregonstate.edu

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

A profile picture of Sanghyun Hong.

Sanghyun Hong

Assistant Professor

sanghyun.hong@oregonstate.edu

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

A profile picture of Liang Huang.

Liang Huang

Associate Professor

liang.huang@oregonstate.edu

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

Portrait of Heather Knight

Heather Knight

Assistant Professor

heather.knight@oregonstate.edu

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

Profile picture of Stefan Lee.

Stefan Lee

Assistant Professor

leestef@oregonstate.edu

Computer vision; natural language processing; deep learning; machine learning.

Portrait of Fuxin Li.

Fuxin Li

Associate Professor

fuxin.li@oregonstate.edu

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

A profile picture for Karthika Mohan.

Karthika Mohan

Assistant Professor

karthika.mohan@oregonstate.edu

Causal inference; graphical models; AI safety

Raviv Raich profile page.

Raviv Raich

Associate Professor

raich@eecs.oregonstate.edu

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

Stephen Ramsey Profile.

Stephen Ramsey

Associate Professor

stephen.ramsey@oregonstate.edu

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

A profile picture of Sandhya Saisubramanian.

Sandhya Saisubramanian

Assistant Professor

sandhya.sai@oregonstate.edu

Automated planning, reinforcement learning, safe and reliable AI.

Prasad Tadepalli

Prasad Tadepalli

Professor

tadepall@eecs.oregonstate.edu

Artificial intelligence; machine learning; automated planning; natural language processing.

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Arash Termehchy

Associate Professor

termehca@eecs.oregonstate.edu

Database systems; large-scale and usable data analytics; human-aware databases; heterogeneous data exploration and analytics.

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Sinisa Todorovic

Professor

sinisa@oregonstate.edu

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

Portrait of Kiri Wagstaff

Kiri Wagstaff

Senior Instructor

kiri.wagstaff@oregonstate.edu

Machine learning applications; anomaly detection; discovery; reliability.

Picture of Wang Huazheng

Huazheng Wang

Assistant Professor

huazheng.wang@oregonstate.edu

Machine learning; reinforcement learning; information retrieval; data mining

Weng-Keen Wong

Weng-Keen Wong

Professor

wong@eecs.oregonstate.edu

Machine learning; probabilistic graphical models; anomaly detection; human-in-the-loop learning; computational sustainability.

Affiliated Faculty

Ravi Balasubramanian

Ravi Balasubramanian

Associate Professor

ravi.balasubramanian@oregonstate.edu

Robust operation in unstructured environments; neural control and biomechanics

Matthew Campbell

Matthew Campbell

Professor

matt.campbell@oregonstate.edu

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

Portrait of Lizhong Chen.

Lizhong Chen

Associate Professor

chenliz@eecs.oregonstate.edu

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

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Jana Doppa

Assistant Professor (Adjunct)

jana@eecs.wsu.edu

Geoffrey Hollinger profile page

Geoff Hollinger

Associate Professor

geoff.hollinger@oregonstate.edu

Planning, coordination, and learning techniques for autonomous robotic systems

Bill Smart

Bill Smart

Professor

smartw@oregonstate.edu

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

Kagan-Tumer.

Kagan Tumer

Professor

kagan.tumer@oregonstate.edu

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