The Bio-Inspired Machine Intelligence (BIMI) Laboratory is to advance research in the areas of bio-inspired machine intelligence including mobile robotics and computational intelligence. The BIMI lab is directed by Dr. Jaerock Kwon and part of the Department of Electrical and Computer Engineering at the University of Michigan-Dearborn.
To achieve true machine intelligence, the BIMI Lab has taken two different approaches: bottom-up data-driven and top-down theory-driven approach. For the bottom-up data-driven approach, the neuronal structure of the brain has been investigated to understand its function. The development of a high-throughput and high-resolution 3D tissue scanner was a keystone of this approach. This tissue scanner has a 3D virtual microscope that allows us to investigate the neuronal structure of a whole mammalian brain in a high resolution. The top-down theory-driven approach is to study what true machine intelligence is and how it can be implemented. True intelligence cannot be investigated without embracing the theory-driven approach such as self-awareness, embodiment, consciousness, and computational modeling. Thus, the BIMI Lab has studied the internal dynamics of a neural system to investigate the self-awareness of a machine and model neural signal delay compensation. These two meet in the middle where machine intelligence is implemented for mechanical systems such as mobile robots and autonomous vehicles. The BIMI Lab is to bridge the data-driven and theory-driven approaches by which we will be able to conduct research focusing on mobile robotics and autonomous vehicles.
The BIMI Lab offers a great opportunity for interdisciplinary faculty, graduate, and undergraduate students to collaborate in various research projects.
The BIMI Lab has been working on
- MOBIS Technical Center of North America, Detection and tracking of vehicles using Lidar point clouds for autonomous lane-changing system, May 2021 – Nov 2021
- Markerless 3D Human Motion Inference Framework from 2D Videos using Deep Learning funded by the University of Michigan-Dearborn Research Initiation & Development Grant, 2020
- Development of Autonomous Vehicle Research Platform using Deep Learning and Robot Operating System (with Hanyang University-ERICA, Korea) funded by the Institute for Information and Communications Technology Promotion, Korea, 2019
- 3D Modeling of Human Motion from 2D Video Images Using Al-based Markerless Inference Framework (with Grand Valley State University) funded by the Center for Scholarly and Creative Excellence (CSCE) Collaborative Research Grant, 2020
- Development of Software Tools for Driver Assistance Systems (with Magna Electronics)
- Development of High-Throughput and High-Resolution Three-Dimensional Tissue Scanner with Internet-Connected 3D Virtual Microscope for Large-Scale Automated Histology (with Texas A&M University and University of Houston) funded by the National Science Foundation (NSF)
Sponsors and Collaborators
