John Raiti

John Raiti is an Associate Teaching Professor in ECE and is the Technical Programs Advisor at the Global Innovation Exchange (GIX) where he teaches in the Interdisciplinary UW Master of Science in Technology Innovation degree program. He teaches UW graduate level courses in Sensors & Circuits, IoT and Connected Devices, Capstone-style Launch Projects, and Robotics (Mobility, Navigation, and Manipulation) with a focus on Human Robot Interaction (HRI). Project examples from courses he has taught can be found here.

John‘s research has focused on human robot interaction projects in which he designed, implemented, and tested web interfaces for a variety of robots; including NASA Robonaut (R2), NASA Valkyrie (R5), PR2, iRobot Create, AR.Drone, and LEGO Mindstorms. One of his collaborations with Planetary and Geological Sciences at Brown University involved studying how a robot could be used to assist astronauts in the detection of geologically relevant rock samples which could then be cored, cached, and sent brought back to Earth. Some of his robotics research for the physically disabled was included in a TED talk, entitled, “Meet the robots for humanity.”

John has worked at Applied Dexterity, a spinout of the BioRobotics lab at UW, and has developed human robot interaction projects involving Applied Dexterity’s RAVEN and Cockpit robotic platforms. He designed, implemented, and conducted novel robot applications in collaboration with NASA Johnson Space Center to meet the scientific and research needs of NASA.

John is a recipient of Faculty Appreciation for Career Education and Training (FACET, UW’s College of Engineering) Award in 2019 due to his impact on advancing students‘ education and preparing them for successful careers.

John is one of the Faculty Advisors for the Advanced Robotics @ UW (ARUW) team. He also helps lead projects in robotics STEM outreach in Seattle, including mentoring the Ballard High School FIRST robotics team, Vikings 2928.

John received the doctorate and master’s degrees in Biomedical Engineering from Brown University, where his doctoral thesis examined human and robotic navigation with degraded sensory information. John also received the Master of Science degree in Neuroscience from Syracuse University and the Bachelor of Arts in Neuroscience from Johns Hopkins University.

Best Demo Paper Award: Natalia Stepanova, Wesley Muthemba, Ross Todrzak, Michael Cross, Nicholas Ames and John Raiti. "Natural Language Processing and Sentiment Analysis for Verbal Aggression Detection; A Solution for Cyberbullying during Live Video Gaming" Proceedings of the 14th ACM International Conference on PErvasive Technologies Related to Assistive Environments. 2021

Student project, Melodic, in my TECHIN514: HW/SW Lab 1 (2022) course won the Microsoft Imagine Cup Americas Regional and are competing in the Microsoft Imagine Cup World Championship 2022.

Proposal, "Physical robots for teaching Mobility & Manipulation using ROS in remote learning" accepted into the UW Teaching & Learning Symposium 2022

Faculty Appreciation for Career Education and Training (FACET) Award recipient, College of Engineering, UW, 2019

• Teaching example from TECHIN515: HW/SW Lab 2 (2022)
• https://youtu.be/5fBPAp4tlEA

• Project examples from courses he has taught can be found here

2024:

• Cabrera, M. and Raiti, J. Physical Robots for Teaching Mobility & Manipulation using ROS in Remote Learning, ASEE Conference 2024 (accepted)
• Xu, W., Huff, T., Ye, S., Sanchez, J. R., Rose, D., Tung, H., ... & Raiti, J. (2024, March). Virtual Reality-based Human-Robot Interaction for Remote Pick-and-Place Tasks. In Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (pp. 1148-1152).

2023:

• Cui, F., Mo, W., Lei, S., Leung, H., Raiti, J., & Wang, Y. (2023, October). Lightron: A Wearable Sensor System that Provides Light Feedback to Improve Punching Accuracy for Boxing Novices. In Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing (pp. 50-53).
• Bo Liu, Wenyu Wang, Yuqing Zhang, Rui Huang, and John Raiti. 2023. Lullaland: A Multisensory Virtual Reality Experience to Reduce Stress. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA '23). Association for Computing Machinery, New York, NY, USA, Article 198, 1–6. https://doi.org/10.1145/3544549.3585636

2022:

• Mustafa, S., Hung, H., Millaway, G., Peng, H., Geiger, A. and Raiti, J. 'Backpack Posture Classification for Elementary and Middle School Children Using Deep Learning' Proceedings of the 15th ACM International Conference on PErvasive Technologies Related to Assistive Environments. 2022 (accepted)
• Davis, T., Adams, C., Zhao, J., Zhao, Y., O'Rourke, N., Peng, H., Geiger, A., and Raiti, J. 'Data Signal Processing and Machine Learning for Motion Detection; A Solution for Postoperative Breast Cancer Rehabilitation' Proceedings of the 15th ACM International Conference on PErvasive Technologies Related to Assistive Environments. 2022 (accepted)
• Hwang, S., Sama, M., Kuhn, S., Erusu, V., and Raiti, J. 'An Adaptive Tilting Interface to Alleviate Motion Sickness for Passengers in Vehicles' Proceedings of the 15th ACM International Conference on PErvasive Technologies Related to Assistive Environments. 2022 (accepted)
• Wang, S., Liu, Y., Bang, H., Kim, M., and Raiti, J. 'Stress Management through a Neuro and Biofeedback Meditation VR Application' Proceedings of the 15th ACM International Conference on PErvasive Technologies Related to Assistive Environments. 2022 (accepted)

2021:

• Choi, M., Li, G., Todrzak, R., Zhao, Q., and Raiti, J. Designing a LoRa-based Smart Helmet to Aid in Emergency Detection by Monitoring Bio-signals. 2021 IEEE Global Humanitarian Technology Conference (GHTC)
• Qin, S., Ng, G., Lo, H., Li, Y., Cuneo, A., Preston, M., Ames, N. and Raiti, J. Application for Measuring Eyelid Weakness in Individuals with Myasthenia Gravis. 2021 IEEE Global Humanitarian Technology Conference (GHTC)
• Natalia Stepanova, Wesley Muthemba, Ross Todrzak, Michael Cross, Nicholas Ames and John Raiti. "Natural Language Processing and Sentiment Analysis for Verbal Aggression Detection; A Solution for Cyberbullying during Live Video Gaming" Proceedings of the 14th ACM International Conference on PErvasive Technologies Related to Assistive Environments. 2021
• Dongho Koo, Yeon Hee Rho, Hua Lo, Nicholas Ames, Yuntao Wang and John Raiti. "Methods of identifying touched areas that have been wiped properly" Proceedings of the 14th ACM International Conference on PErvasive Technologies Related to Assistive Environments. 2021
• Qian Zhao, Dongbin Bai, Yue Yu, Yitong Shen, Nicholas Ames, John Raiti, Julian Marshall and Yuntao Wang. "Making Healthy Air More Affordable: A Smart Air Purifier with Filter Availability Detection" Proceedings of the 14th ACM International Conference on PErvasive Technologies Related to Assistive Environments. 2021
• Yun Liu, Lu Wang, William R. Kearns, Linda E. Wagner, John Raiti, Yuntao Wang, Weichao Yuwen. “Integrating a Voice User Interface into a Virtual Therapy Platform.” The 2021 CHI Conference on Human Factors in Computing Systems. 2021.
• He Feng, Jiali Zhang, Yuntao Wang, Linda Wagner, John Raiti. “Designing a Smart Helmet for Wildland Firefighters to Avoid Dehydration by Monitoring Bio-signals.” The 2021 CHI Conference on Human Factors in Computing Systems. 2021.

2020:

• Boger, I., Chakalasiya, Christofferson, K., Wang, Y., and Raiti, J. Induced Acoustic Resonance for Noninvasive Bone Fracture Detection Using Digital Signal Processing and Machine Learning . 2020 IEEE Global Humanitarian Technology Conference (GHTC)
• Ngeh, C.J., Ma, C., Ho, T., Wang, Y., and Raiti, J.Deep Learning on Edge Device for Early Prescreening of Skin Cancers in Rural Communities. 2020 IEEE Global Humanitarian Technology Conference (GHTC)
• Lewis, A., Drajeske, D., Raiti, J., Berens, A., Rosen, J., and Hannaford, B. “RAVEN-S: Design and Simulation of a Robot for Teleoperated Microgravity Rodent Dissection Under Time Delay.” International Conference on Robotics and Automation (ICRA) 2020
• Wang, Y., Chen, Z., Li, H., Cao, Z., Luo, H., Zhang, T., Ou, K., Raiti, J., Yu, C., Patel, S., Shi, Y. “MoveVR: Enabling Multiform Force Feedback in Virtual Reality using Household Cleaning Robot”. Conference on Human Interaction (CHI) 2020
• Lin, T., Tran, C., Feng, T., Huang, L., James, J., Zaragoza, R., Hannaford, B., Wagner, L., and Raiti, J. “Empathics System: Application of Emotion Analysis AI through Smart Glasses.” Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments. 2020

2018:

• Yang, D., Xiong, J., Li, X., Yan, X., Raiti, J., Wang, Y., Wu, H., Zhong, Z. “Building Towards “Invisible cloak”: Robust Physical Adversarial Attack on Yolo Object Dectector” IEEE UEM (Ubiquitous Computing Electronics and Mobile Computing) Conference 2018

TECHIN512: Sensors & Circuits

TECHIN514: HW/SW Lab 1

TECHIN515: HW/SW Lab 2

TECHIN516: Robotics Lab 1

TECHIN517: Robotics Lab 2

TECHIN540: Integrated Launch Studio 1

TECHIN542: Integrated Launch Studio 2

TECHIN600: Independent Study