Dr. Zackory Erickson
Assistant Professor, Robotics Institute and Biomedical Engineering
- Newell-Simon Hall 4627
Newell-Simon Hall 4627
Carnegie Mellon University Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213
Education
- B.S., University of Wisconsin–La Crosse, 2016
- M.S., Georgia Institute of Technology, 2020
- Ph.D., Georgia Institute of Technology, 2021
Bio
Zackory Erickson is an Assistant Professor in The Robotics Institute at Carnegie Mellon University, where he leads the Robotic Caregiving and Human Interaction (RCHI) Lab. His research focuses on developing new robot learning, mobile manipulation, and sensing methods for physical human-robot interaction and healthcare. Zackory received his PhD in Robotics and M.S. in Computer Science from Georgia Tech and B.S. in Computer Science at the University of Wisconsin–La Crosse. His work has won the Best Student Paper Award at ICORR 2019 and a Best Paper in Service Robotics finalist at ICRA 2019.
Research
Over 5 million people in the United States are living with paralysis; a sixth of the population is over the age of 65; and in 2014 more than a quarter of the population had a disability. There is a massive need for care. Assistive robots can help empower people to live more independently and reduce the physical burden placed on our nurses and human caregivers. Our group is keenly interested in the development of physically assistive robots that can help people who have loss of motor function due to neurodegenerative disease, stroke, or spinal cord injury. We develop wearable interfaces and robot autonomy that enable individuals with loss of hand function to control assistive robots and perform physical activities of daily living again. Our research lies at the intersection of robot learning, physical human-robot interaction, and multimodal sensing. We further develop wearable devices for capturing physiological signals to inform and improve healthcare outcomes for a number of diseases.
Research Interests: healthcare robotics; robot learning; physical human-robot interaction; wearables; mobile manipulation
Awards and Recognitions
- Best Student Paper Award, IEEE ICORR 2019
- Best Paper Award in Service Robotics Finalist, IEEE ICRA 2019