The default setting for this page is to show teams for Spring 2023. Use the filters below to help identify Summer 2023 teams and/or teams working on projects in a particular area of interest. Visit "Register for a Team" webpage for updated VIP subject code details.
Hands-on Unmanned Aerial Systems research at Purdue’s world class indoor motion capture environment, Hangar 4. Direct collaboration and support from AFRL (Air Force Research Labs) Aerospace Systems Directorate.
This project uses computer vision to analyze visual data (image or video) captured in public locations in order to estimate the density of crowds and responses to governments' policies of social distancing.
Purdue students will work with autonomous mowing stakeholders (Wright Manufacturing Inc., Greenzie and McGavic Outdoor Power) to develop autonomous mowing testing protocols, performance measures, and training material.
Bio-inspired digital twins (BioTwins) - The team will continue previous work on bio-inspired designs of the morpho butterfly and snake skin to update functional designs, manufacture, and test bio-inspired structures.
To enable a set of 5 components (user gears) in a pouch or a keychain for distancing during daily operation, transit and travel. Safe, small footprint for portability, able to attach to travel bag or airplane seat arm rest, light weight, reusable and low cost.
The focus of this project is developing an automated speech-to-text program that works with young children (ages 3-5). The team will develop the algorithms for transcription and a functional interface that is user-friendly.
This team will support the development of large-scale quantum information preserving computational electromagnetics modeling methods to improve the design/optimization process of a wide range of quantum technologies.
This team will investigate methods to improve efficiency (inference time, training time, storage space, energy consumption) of computer vision (both image and multimedia) so that computer vision can run on embedded systems.
In order to mitigate the risk of health care personnel and other patients visiting hospitals from the 2019-nCoV, or bacteria, our team proposes to deploy autonomous cleaning robots to disinfecting Hospitals, Schools and Dorms. New technologies will be developed and test as part of the Robot.
We develop mobile and web-based digital health applications to improve health care operations so that community residents can maintain/improve their health outcomes and community-based care providers can plan their workforce in a more cost-benefit manner.
This course aims to create a collaborative learning environment in which students will learn, discuss, and practice various aspects of electric and autonomous vehicles. Through popular open-source projects and other activities in support of evGrand Prix, students will apply their knowledge and gain real-world experience specific to the industry.
Manufacturing robotics: This team will work with GE research to develop innovative technologies to improve the scalability, flexibility, and agility of manufacturing automation platform with robotic operations.
This team uses machine learning to build a system that detects humans, shapes, and motion in 3D space, with the objective to create an interface that all can use in the realm of dance performance and choreography. This team will work with Purdue Division of Dance DANC 351 students to develop this new technology.
Milestones teams allow first-year and sophomore students to gain skills and knowledge within the context of three different areas: 1) automotive; 2) autonomous systems; and 3) grand challenges. After completing the a semester of Milestones, students will be prepared to effectively contribute to VIP teams that align with their interests and goals.
Students will work with an international community of students in order to design, build and test a non-grounded rover prototype. The project will be carried online and feature optional events in France and Costa Rica.
This team will examine and evaluate the feasibility of application development, the application platform, vibration recreation via auxiliary and Bluetooth availability within watercraft, and portable speaker systems to produce vibrative effects to target designated aquatic species.
This team will complete the mechanical design towards a continuous operation of a turbine coupled with a rotating detonation combustor. Predict the performance of the turbine-combustor during transients.
ZERO EMISSION HYDROGEN FUEL CELL VEHICLES. Based on a case study of an end-to-end integrated ‘green’ hydrogen production and fueling of heavy-duty, off-road trucks for surface mining operations, Anglo-American has completed a year-long pilot project in South Africa of a hydrogen-powered ultra-class mining haul truck.
With the recent changes in global infrastructure caused by COVID- 19, a team from Purdue Engineering has designed an innovative solution to alleviate a subset of problems when it comes to object disinfection and safe transmission.
VIrtual Super-resolution Optics with Reconfigurable Swarms (VISORS) is an NSF sponsored space mission which will deploy a 'distributed space telescope' - a three-piece CubeSat formation that will allow researchers to obtain high-resolution imagery of Sun’s surface.
This study aims to use video along with environmental sensors to develop a behavioral model that can be used to predict human action during design and before construction and to analyze pre- and post-COVID use patterns within the built environment.
WMS - EV GoKart: Work as a team to modify and optimize the Krannert/IBE EV Go Kart. Strategize marketing tactics and sponsorship opportunities. Participate in community outreach projects. Combining all to have a chance to win the EV Go Kart Race in Spring 2024.
WMS - FAA: Learn the ins and outs to pass the FAA’s initial aeronautical knowledge exam: “Unmanned Aircraft General – Small (UAG). Earn your certificate drone pilot license. All fees will be covered by IBE.
WMS - MSI: The MSI team will develop an Artificial Intelligence (AI) based computer vision (CV) system to identify and reduce potentially unsafe behaviors in a warehouse setting where several indoor cranes and busy truck bays are in use.