The SMART Start program is focused on funding innovative, interdisciplinary projects with community-related themes.
Launched by the Sustainable Manufacturing and Advanced Robotics Technology Community of Excellence (SMART CoE), SMART Start will support interdisciplinary collaboration. This aligns with the mission of SMART: to research and develop the next generation of technologies, products, processes and expertise for achieving global leadership in economic and ecological sustainability for design and manufacturing across scales of time, size, and complexity.
The SMART Start Phase I theme is the Human-Technology Frontier.
This includes how artificial intelligence, rapid prototyping, and materials design are transforming the relationship between people and technology, whether in creating innovative partnerships between robots and people, creating customized materials, and generating insight into complex system outcomes. White papers in this broad area of interest are welcome.
Submissions (single spaced using 12 point font and 1-inch margins) shall include:
Faculty Involved:
The overall goal of the effort is to combine disassembly sequence planning with deep learning based human behavior (and tool type/ usage) prediction, and iterative learning based real-time control. The disassembly and disposal of products at end of life is not well-structured like in product production.
Variation results from uneven mixes of different brands, physical uncertainties resulting from component defects or damage during usage, incomplete product and internal configuration information. As a result, disassembly is currently a labor-intensive process, which often is manually executed with very limited automation. The current approach has great potential to be automated through human-robot collaboration both in planning and execution of disassembly operation.
Overall, the objectives of this project is interesting and has the potential to have important impact in the future (as well as open up opportunities for larger externally funded projects), and the overall framework (if not the details) presented exhibits clarity. The PIs may need to reduce the scope of project and instead focus on 1-2 of the objectives (e.g., focus on developing and integrating short-term control and predicting tool type and position; the task that the worker is performing can be prescribed, and long term planned can assumed) and have more clarity on how they will exactly deal with the complexities of the problem, leaving the later objectives to a Phase II effort that leads to greater industrial involvement or large scale proposal development.
The objective of this project is to create a human-technology collaborative environment for Additive Manufacturing (AM) quality excellence by: 1) making the additive manufacturing process data human interpretable, and 2) integrating human interactions into AM process control technologies. The project will test the hypothesis that additive manufacturing quality excellence can be better achieved in an interpretable and interactive human-technology partnership. An AMLens is proposed: just as a human can adjust a lens to observe a system, a human can interact with technology for adaptive learning.
SMART Start Phase II seeks to build on previous community efforts by catalyzing industry collaborations and/or large scale proposal development. Teams selected in Phase I or funded in earlier SMART Exploratory project calls will receive higher priority.
Phase II requests are due by 5pm, November 9, 2018.
The SMART Start is open to teams of scholars in all disciplines. Teams shall include at least 3 investigators, one of whom can be from industry.
Any questions can be sent to smart-coe@buffalo.edu.
All white papers must be submitted via email as a single PDF by 5pm, November 9, 2018 to smart-coe@buffalo.edu.
Submissions (single spaced using 12 point font and 1-inch margins) shall include:
1) 3-page white paper (maximum not including references ) describing the topic of interest, intellectual contributions, and relevance to SMART themes. The white paper must include sufficient detail to convince reviewers of the project's merit, and written in language understandable to non-specialists. The white paper should stress the merit of the project and potential impact, including the following:
a) A clear research question that defines the purpose of the project and background/rationale that addresses the significance and relationship to the SMART community.
b) Describe the research/scholarly methods that will be used to conduct the project and how SMART equipment and/or facilities are expected to be used in the execution of the project.
c) Provide a description of the industry collaboration plan and/or the large scale proposal development plan, including envisioned outcomes and impact of the project.
d) Include a brief line item budget and justification including a description of other resources or cost-sharing that will be applied to the project. The budget justification is important since budget reasonableness will be considered.
2) Key Personnel: Attach a 2-page biographical sketch/vitae summary for each investigator participating in the project