Intelligent Robotics and
System Optimization Laboratory
Welcome to IRoSOL!
Thanks for visiting the Intelligent Robotics and System Optimization Laboratory (IRoSOL) at Michigan Technological University. Our research focuses on real-time actions for coordinating multiple heterogeneous robotic systems in various applications, such as surveillance, monitoring, search and rescue, power generation, transportation, and manufacturing. Our goal is to advance operational strategies for multiple heterogeneous autonomous vehicle systems with effective global coordination of the vehicles and local control of each vehicle.
Highlighted News from IRoSOL
Our lab member Abhishek Patil has been awarded a finishing fellowship and a Dean's award for an outstanding scholarship. Congratulations, Abhishek! Fellowship recipient interview Outstanding scholarship announcement
Our lab member Zongguang Liu has been awarded a Dean's Award for Outstanding Graduate Student Teaching by teaching the MEEM4705/5705 Robotics and Mechatronics lab sessions, designed and taught by Dr. Myoungkuk Park. Congratulations, Z! announcement
Dr. Bae had an invited presentation for our recent research results, "Solving a Multiple Tethered Autonomous Underwater Vehicle (T-AUV) Routing Problem Toward Entanglement-Free Navigation," at INFORMS2023 in Phoenix, AZ, on 10/17/2023. Abhishek also presented his new work at the same conference, "Coordinating Tethered Autonomous Underwater Vehicles (T-AUVs) towards Entanglement-Free Navigation," on 10/16/2023.
Our lab member Zongguang Liu presented our recent research on entanglement-free navigation for a tethered AUV and got 3rd place in The Showcase [AI] on 10/6/2023. Congratulations to Z! link
Our lab member Abhishek Patil presented our recent research work, "Coordinating Tethered Autonomous Underwater Vehicles (T-AUVs) towards Entanglement-Free Navigation," at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023) within the Planning for Distributed and Multi-robot Systems II session, followed by a poster presentation in Detroit, MI, on 10/3/2023.
Past Highlights
Dr. Bae presented our recent research results, "Scheduling Multiple Tethered Underwater Robots (TURs) to Avoid Entanglement of Tethers," at Ubiquitous Robots (UR2023) in Honolulu, HI, on 6/26/2023.
Dr. Bae presented our recent research results, "A Heuristic for Multiple Heterogeneous Mobile Robots Task Assignment under Various Loading Conditions considering Workload Balance," at the 23rd Annual IEEE International Conference on Electro Information Technology (EIT2023) at Lewis University, Romeoville, IL, on 5/19/2023. The authors are Zongguang Liu, Myoungkuk Park, and Jungyun Bae. The paper can be found here.
The paper written by our lab members, Abhishek Patil, Myoungkuk Park, and Jungyun Bae, titled "Coordinating Tethered Autonomous Underwater Vehicles towards Entanglement-Free Navigation," was published at MDPI Robotics under the special issue Collection in Honor of Women's Contribution in Robotics. You can find the details here.
The paper "Neuroevolution Application to Collaborative and Heuristics-Based Connected and Autonomous Vehicle Cohort Simulation at Uncontrolled Intersection," which Dr. Bae has co-authored, is published at MDPI Eng. The research is supported by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE) under the Vehicle Technologies Office (VTO) award number DE-EE0009209, led by Dr. Robinette. Dr. Bae is the co-PI on this project. You can find the details here.
Dr. Bae had an interview with Korea Foundation for Women in Science, Engineering, and Technology. The interview series “she did it” introduces Korean women scientists and engineers in various fields. She participated in the series as a Korean female roboticist to introduce robotics to the young generation. The articles in the series can be found here1 and here2.
Our group's graduate student, Hyeseon, received the Dean's Award for Outstanding Graduate Teaching Award by teaching the lab sessions for MEEM4707 Autonomous Systems. She was devoted to the course to teach them technical aspects of autonomous navigation and help out the students who were in need. Congratulations, Hyeseon! You may refer to the page.
Our group's undergraduate student Niccolo won second place in the Computing[mtu] Showcase! He started to work in our lab in Fall22 and did a great job within a short period with help from our Ph.D. student Abhishek. The title is "Performance Measurement of Trajectory Tracking Controllers for Wheeled Mobile Robots." More details can be found here.
Dr. Bae presented research work on coordinating multiple heterogeneous AVs during the INFORMS annual meeting in Indianapolis, IN, on 10/16/2022. The presentation title is "A Heuristic For A Multiple Depot Heterogeneous Autonomous Vehicle Routing Problem Considering Workload Balance." In addition, she served as the session chair for the "OPT/Integer and Discrete Optimization Flash Session."
The paper "Connected and Autonomous Vehicle Cohort Speed Control Optimization via Neuroevolution," which Dr. Bae has co-authored, is published at IEEE Access. The research is supported by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE) under the Vehicle Technologies Office (VTO) award number DE-EE0009209, led by Dr. Robinette. Dr. Bae is the co-PI on this project. You can find the details here.
The paper "Real Time Predictive and Adaptive Hybrid Powertrain Control Development via Neuroevolution," which Dr. Bae has co-authored, is published at MDPI Vehicles under the special issue " Feature Papers in Vehicles." The research is supported by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE) under the Vehicle Technologies Office (VTO) award number DE-EE0009209, led by Dr. Robinette. Dr. Bae is the co-PI on this project. You can find the details here.
Our Laboratory
Turtlebot3 by Robotis
Leo Rover
Blue ROV2 by Blue robotics
Jetbot
Multiple Foot print robots for pre-testing
OptiTrack
The lab is equipped with eight motion capture cameras from OptiTrack to track the location of the robots