Research.

At IRLĀ², we focus our efforts on integration of multi-sensor fusion, robotics/mechatronics, development of perception algorithms, human-robot/human-machine interfaces, high & low-level robot controller design, general robot learning, artificial intelligence, study of human-robot interactions, and user research. This page represents past research, as well as current research and projects.



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Robot Teaching and Learning from Human Demonstration

Robot Teaching/Learning Approaches and Robot Teaching Interfaces

Collaborators: University of Toronto Mechanical and Industrial Engineering Department (Prof. Goldie Nejat), Oakland University Applied Behavior Analysis Autism Clinic (Prof. Jessica Kordner)

Interactive Task Learning

Transparent Learning from Demonstration

Methods for Interpretability During Teaching

Virtual Reality Teleoperation Interface

Kinesthetic Teaching-Based Teleoperation Interface

External Observation

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Socially Assistive Robots for Healthcare and Education

Robot-mediated therapies for individuals with autism, Robot delivered K-12 education, and Service robots for older adult care.

Collaborators: Oakland University Applied Behavior Analysis Clinic (Prof. Jessica Korneder), East Carolina University College of Education(Prof. Tanya Christ), Oakland University School of Health Sciences (Prof. Sara Arena, Chris Wilson, Lori Boright), University of Michigan - Flint College of Innovation and Technology(Prof. Steve Wilson)

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AVs and Advanced Driver Assistance Systems

Advanced Driver Autonomy System

Collaborators: Dura Automotive Inc.

Driver Monitoring System for Estimating Driver Situational Awareness

Our Sponsors

Disclaimer: Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the project sponsors (i.e., National Science Foundation, Michigan Space Grant Consortium, Automotive Research Center, and Oakland University)