Maize block "M" and "Multidisciplinary Design Program, University of Michigan"

– Clear

Graphic with "Faculty Sponsored Team" at the top, mentor Paul Green, and the project title, "SIM: Real-Time and Virtual Driving Simulator" on the bottom. On the right, a digital rendering of a city road with cars driving and pedestrians walking across.
To assess vehicle safety and ease to operation, we will improve upon the design of a virtual driving simulator through open-source software, simple hardware, and virtual roadway and scenario simulation.
Graphic with "Faculty Sponsored Team" at the top, mentor Shai Revzen, and the project title, "Mu-RoAM: Multilegged Robots and Animal Motion" on the bottom. On the right, a six-legged robot with small lights lining the body.
This faculty research team uses core principles of animal locomotion to create advanced robot technologies by distilling their mathematical principles and using machine learning automation.
Graphic with "Faculty Sponsored Team" at the top, mentor Yang Zhang, and the project title, "Atombot: Swarm Robotics and Collective Intelligence" on the bottom. On the right, a group of three small robots and two others in the background.
This Atombot project will build a controllable miniature swarm robot system, based on a prototype developed by the Z Lab, study the fundamental emergent behavior of many-robot systems, and explore mission-critical applications in homeland security.
Graphic with "Faculty Sponsored Team" at the top, mentor Xiaogan Liang, and the project title, "Mapleseed: Microdrone and Wireless Sensor Network Team" on the bottom. On the right, a blue wheel-track robot with robot parts in the background.
Wireless sensor networks (WSN) are needed for studying Earth’s climate and for real time monitoring of the spread of viruses or pathogens such as those related to Covid-19. The Mapleseed team aims to develop miniaturized robotic vehicles (e.g., microdrones, mini-airplanes, and rovers) capable of carrying various sensors and automatically measuring certain atmospheric parameters and particle/virus concentrations in targeted spaces.
Graphic with "Industry Sponsored Team" at the top, the ASML logo, and the project title, "ASML: Simulating & Measuring the Motion of Dynamic Loops" on the bottom. On the left, a close-up of a dynamic loop attached to a machine.
ASML manufactures complex lithography systems critical to the production of microchips, which use high-acceleration linear stages to accomplish incredibly precise tasks. Students on the ASML team will study the dynamics of rolling loops of wires and hoses on these systems, conducting research to develop a simulation of their dynamic behavior, and build a physical test rig to directly measure the resulting motion profiles.
Graphic with "Industry Sponsored Team" at the top, the Constellation logo, and the project title, "Constellation: Underwater Robotic Location Tool for Moving Nuclear Fuel" on the bottom. On the left, a robot with two mechanical arms swims underwater.
Every year, Constellation Generation moves thousands of nuclear fuel bundles safely in and out of reactor cores in a challenging underwater environment, which is heavily dependent on humans to ensure reliability. Students on this team will aim to eliminate the human element of this critical task, by adapting a robotic tool for underwater nuclear use, reducing the risk of an error.
Graphic with "Industry Sponsored Team" at the top, the Honda logo, and the project title, "Honda: Drone-Car Interaction: Advancing the Automotive Experience" on the bottom. On the left, a close-up of a drone flying above cars on the road, each car surrounded by light-up circles.
Honda envisions a future where unmanned aerial vehicles (drones) work in tandem with cars on the road. Students on this team will build on previous path-planning research, developing and testing various use cases for drones to enhance the automotive driving experience, such as increasing the perception range of automobiles by sensing areas, and streaming data back to the autonomous vehicle.
Graphic with "Industry Sponsored Team" at the top, the Honda logo, and the project title, "Honda: Autonomous Robot Navigation in Pedestrian Environments" on the bottom. On the left, a robot rolls between walking pedestrians.
As the presence of robots in our every day life continues to increase, it will be critical to ensure that they can safely and efficiently interact with humans in an uncontrolled environment. Students on the Honda project will develop algorithms to find feasible, collision-free paths for a Clearpath Jackal robot with a Zed2 camera operating in a crowd of pedestrians.
Graphic with "Industry Sponsored Team" at the top, the Koppers logo, and the project title, "Koppers: Inventory Verification Utilizing Machine Vision and Drones" on the bottom. On the left, a close-up of a drone mid-air.
Koppers is one of the leading producers of railroad ties in North America, which is a product that is stored in large outdoor stacks, that makes inventory time-consuming and difficult. The students will develop an autonomous drone-based camera system to determine the amount of a particular product available within inventory stored in an outdoor, multi-acre site.
Graphic with "Industry Sponsored Team" at the top, the MiTek logo, and the project title, "MiTek: Machine Vision Tool for Connector Plate Inspection" on the bottom. On the left, notations and graphics overlay a close-up of wooden stairs.
The MiTek® Automation Technical Development organization is responsible for creating new and improving existing tools that support factory-based component manufacturing for single and multi-family construction. Students on this team will aim to develop a proof-of-concept automated inspection system to ensure that truss components meet all quality inspection criteria.
Graphic with "Industry Sponsored Team" at the top, the Northrop Grumman logo, and the project title, "Northrop Grumman: Code Quality with Generative AI Test and Evaluation: GATE" on the bottom. On the left, beams of light bouncing between locations on Earth and a satellite.
This project seeks to leap an order of magnitude forward in the domain of software code quality via automated testing. Students on this team will employ Generative AI trained on domain-relevant tests, and continuously educated based on user selection or rejection of generated output, to continuously create system, interface, and unit tests for a complex system.
Graphic with "Industry Sponsored Team" at the top, the Stryker logo, and the project title, "Stryker: Pressure Injury Assessment Device" on the bottom. On the left, a digital rendering of a hospital bed.
Accurate and timely assessment of a critically ill patient’s skin is extremely important in preventing pressure injuries from occurring or worsening, and monitoring treatment effectiveness. Students on the Stryker team will design and prototype a device(s) that allow a nurse to access key areas of a patient’s skin with minimal movement of the patient, and minimal effort by the nurse.
Graphic with "Industry Sponsored Team" at the top, the Subaru logo, and the project title, "Subaru: Advanced Driver Monitoring System Feature Engineering" on the bottom. On the left, a Subaru car creating a cloud of dust while driving.
Subaru wants to implement advanced AI functionality in their Driver Monitoring System (DMS), leveraging passive IR (infrared) research. Students will develop advanced IR sensor applications for driver monitoring and consumer convenience that will be deployed in our prototype WRX, which is actively being displayed throughout the US at various auto shows, racetracks, and extraneous events.
Graphic with "Industry Sponsored Team" at the top, the Walbridge logo, and the project title, "Walbridge: Improving Safety: Blind Spot Detection in Mobile Construction Equipment" on the bottom. On the left, red warning regions spread from the operator of an excavator.
Walbridge construction company makes jobsite safety a top priority on all their projects, including their two active jobs on U-M’s North Campus. Students on the Walbridge team will develop a Proximity Warning Alert System (PWAS) that detects people, rather than objects, in the blind spots of mobile construction equipment.
Graphic with "Industry Sponsored Team" at the top, the Whirlpool logo, and the project title, "Whirlpool: Advanced Power Electronics Machine Learning Modeling" on the bottom. On the left, a digital rendering of a Whirlpool refrigerator.
Models used to test control software for appliance development are complex and time-consuming to run. Students on the Whirlpool team will develop machine learning models that replicate first-principles models, reducing run time and accelerating product development.