~$6M NSF grant for cyber-physical systems project will enable engineers to explore the next generation of transportation systems –

With the support of a nearly $6 million grant from the National Science Foundation (NSF) through their Cyber-Physical Systems program, researchers at UC Santa Cruz will lead a five year, multi-institutional project to explore a new vision of engineering cyber-physical systems (CPSs). 

CPSs are highly complex systems that involve algorithms, networks, and physical components. Examples of CPSs include smart power grids, implantable medical devices, and transportation such as self-driving cars, the latter being the focus of this project. 

This project aims to rethink the modeling, analyzing, and designing of a new generation of intelligent transportation systems so the algorithms running them are adapted to computational constraints and the systems can run efficiently and reliably. The researchers will collaborate with industry and academic partners to advance CPSs both in research and education through strong training programs for high school and undergraduate students, with a particular focus on creating research opportunities for students from underrepresented backgrounds.

“​​This research will have direct impact in the rapidly growing, multi-billion dollar autonomous systems market,” said Ricardo Sanfelice, lead principal investigator on the project, professor of electrical and computer engineering, and director of the UCSC Baskin School of Engineering’s Cyber-Physical Systems Research Center (CPSRC). “We envision that our results will have a broad impact by improving the safety and reliability of transportation systems, such as aviation systems and self-driving vehicles, in particular, by reducing the carbon footprint of these systems, and training the workforce of the future in key CPSs science.”

Designing for adaptability 

CPSs face major engineering challenges from the computational limitations of traditional processors as well as the scale and diversity of physical components, which can be human-made structures and/or the natural landscape. In traditional systems, the computers are updated with information from the physical systems only periodically, meaning the system at certain points runs on old information which could jeopardize its safety and performance.

Read More   Asteroid approach: NASA tracks a 18,500MPH asteroid headed our way – Will it hit us?

To solve these problems, this project will focus on codesigning the algorithms and hardware of CPSs so that the physics, hardware, and software are unified. The researchers will use results from verification, implementation, and testing of their new systems to redesign their algorithms, a process which will also happen in an automated fashion as the systems are running. This is unlike the current state-of-the-art systems, in which algorithms and hardware are typically not jointly designed, leading to a lengthy and costly verification process. 

This new model of providing feedback to CPSs will allow researchers to create systems that are much more adaptive than the current state of the art. The new control algorithms will adapt to the specification and the environment they are deployed on, learning and adjusting to key factors such as power consumption and execution time. The new hardware will be tailored to best provide feedback that can be used by these algorithms. 

“To meet the stringent requirements that intelligent transportation applications demand, such as performance and safety, the algorithms implemented in the control stack require advanced algorithms that exploit data to learn the environment, the physics, and the cyber,” Sanfelice said. “We believe this is the best way to enable CPSs to make close-to-optimal decisions.”

These new tools will reduce overall development cost and time for CPSs. The more accurate models will eliminate overprovision of hardware, and the new software will be open-source to enable broader reuse.

Collaboration and education 

This project will involve vast collaboration across academia and industry. The group will leverage expertise in fields such as hardware architecture, real-time systems, and hybrid control systems.

Read More   Snow days in the Alps 'will HALVE without faster action to stop climate change'

Including Sanfelice, there are seven principal investigators on the project: UCSC Assistant Professor of Applied Mathematics Abhishek Halder; UCSC Assistant Professor of Computer Science and Engineering Heiner Litz; UC Berkeley Professor of Electrical Engineering and Computer Sciences Murat Arcak; University of Pennsylvania Associate Professor of Computer and Information Science Linh Thi Xuan Phan; Vanderbilt University Professor of Computer Science Jonathan Sprinkle; and University of Colorado Boulder Assistant Professor of Computer Science Majid Zamani. They will also collaborate with researchers at the Norwegian University of Science Technology and Italy’s IMT School for Advanced Studies Lucca. 

The researchers will work with industry partners such as Toyota Motor Engineering & Manufacturing, Toyota Research Institute, Joby Aviation, and Summer Robotics to gather strategic advice about existing hardware and to test and validate the autonomous transportation systems created by this project. Through this focused collaboration, they aim to transition their work from research to practice.

In recruiting researchers to work on this project, the PIs will focus on involving and mentoring women and historically marginalized communities, spanning all levels of education from K-12 to post-docs. Activities will include a CPSs industry seminar series, competitions to create tools and datasets, and integration of research advances into engineering curriculum at several of the participating universities.  

In addition to addressing the effectiveness of CPSs, this project presents a vision for reducing  the growing global carbon footprint by promoting an increased use of autonomous systems in transportation.  

“Transcending the computational challenges of traditional methods, Sanfelice and his team are innovating intelligent transportation systems of the future,” said Alexander Wolf, dean of the Baskin School of Engineering. “This grant places our researchers at the forefront of a field critically important in our rapidly changing world, while centering the contributions of our students.”

Read More   Covid news live: England expected to ease Omicron restrictions; WHO chief says pandemic is ‘nowhere near over’

This project is funded through the NSF’s Cyber-Physical Systems program, under the Frontier category. The proposal was prepared with assistance by the UCSC Cyber-Physical Systems Research Center and the UCSC Office of Research (OR), and through seed funds provided by the OR and the Baskin School of Engineering to research intelligent transportation.

“Frontier projects at the NSF must address clearly identified critical CPS challenges that cannot be achieved by a set of smaller projects,” Sanfelice said. “Back in 2017, we founded the UCSC CPSRC with the intention of providing a platform for leading a winning Frontier proposal. I’m thrilled that NSF has selected our proposal for an award and feel privileged to lead this innovative project.”


This website uses cookies. By continuing to use this site, you accept our use of cookies.