Course Description
UST 3000 (undergraduate)
UST 5000 (graduate)
Investigate how autonomous robots can operate safely and effectively in the extreme cold and challenging conditions of Northern Minnesota's mining environment.
This project will bring together students from Mathematics, Mechanical Engineering, Electrical Engineering, Computer Science, and related fields to design, build, and test an autonomous robot for cold-weather mining applications. Students will work on a real-world engineering challenge that requires the integration of mathematical modeling, mechanical design, sensing, control, and computer vision.
Students will participate at different levels according to their experience and academic background. New students will begin with well-defined tasks connected to their foundational coursework, while experienced students will take on increasingly complex technical responsibilities and help guide newer team members. Because the project involves multiple interconnected technical modules, students from different majors can make meaningful contributions while also developing an understanding of how their work fits into a larger autonomous system.
Highly Iterative Process
Design > Implement > Test > Analyze > Troubleshoot > Refine
The ultimate goal is to produce a working prototype of an autonomous mining robot that integrates mobility, sensing, control, and computer vision. Students will also have opportunities to communicate their work through technical presentations, demonstrations, reports, and interactions with industry stakeholders. The project will seek collaboration with Minnesota's mining industry, including potential industry partners such as Talon Metals and U.S. Steel - Minntac, providing students with exposure to authentic engineering needs and opportunities to develop solutions with practical relevance. In the longer term, the project can serve as a foundation for expanded industry collaboration and externally funded research at UMD.
Instructors
Assistant Professor Harish R Palnitkar
Mechanical and Industrial Engineering
[email protected]
Assistant Professor Li Zhu
Mathematics & Statistics
[email protected]
Professor Debao Zhou
Mechanical and Industrial Engineering
[email protected]
Full Team Meeting Time & Location
TBD
Topics & Challenges Involved
- Safer, more efficient, and more technologically advanced approaches to mining operations.
- Provide a foundation for adapting technology to other applications where autonomous systems must operate in harsh or hazardous environments.
- Develop a workforce with interdisciplinary robotics and engineering skills that are relevant to Minnesota's industries.
- Strengthen the connection between UMD's educational mission, regional workforce needs, and technology innovation.
Real World Skills Gained
Students will engage with these transferable skills in a variety of ways dependent upon their background and academic level.
Students will be able to:
- Follow standard engineering practices for laboratory safety, ethical conduct, data integrity, technical documentation, teamwork, and responsible use of engineering tools and equipment.
- Identify and follow applicable safety requirements for laboratory and field activities.
- Formulate equations for robot dynamics, simulating wheel-terrain interaction in harsh cold environments, and conductive fluid or particle simulations.
- Create physical platform designs using CAD software, assemble structural hardware, integrate low-temperature power electronics, and conduct testing with simulated soil samples.
- Develop embedded software architectures, incorporate multi-sensor data from thermal and optical sensors, and create computer vision routines for tracking and visual surveying.
- Assist with grant writing, document system architecture, create status reports for external partners, and share findings at venue showcases like the UMD SAIL event.
Community Partners & Sponsors
- Talon Metals
- U.S. Steel - Minntac
Methods & Technologies
- Microcontrollers
- Sensing units (LiDAR, cameras, IMUs)
- Linear actuators
- DC motors
- 3D printers
- Cold testing chamber
- MATLAB/Simulink
- SolidWorks
- ANSYS Workbench
- ROS2 development frameworks
- Mathematical modeling
- Chassis fabrication
- Drivetrain assembly
Majors Sought & Preferred Interests
- Math
- Mechanical and Industrial Engineering
- Computer Science
- Electrical Engineering
- Computational Physics & Simulation
- Partial Differential Equations
- Mechanical & Hardware Systems
- Software & Autonomous Control
- Robot Control
- Image Processing Electrical Circuit Integration
VIP Course Characteristics
- Students' work is iterative
- Students communicate their results to stakeholders
- Mentorship plays a key role in the project
- Students collaborate in groups with an intentional faculty-designed plan