ACTIVITIES

Workshops

Workshop on Computation-aware Algorithmic Design for Cyber-Physical Systems (CAADCPS): Organized by this CPS Frontier team in CPS-IoT since 2021. The goal of this workshop is to lay out the foundations of such framework for computation-aware algorithmic design of cyber-physical systems by bringing together experts (both practitioners and researchers) in cyber-physical systems and key areas in hardware design, real-time systems, optimization, control, safety, and verification.

Seminars

  • CPSRC Seminar Series at UC Santa Cruz: Organized by the Cyber-Physical Systems Research Center at UCSC, this seminar series featured speakers from industry and academia to present research related to the Frontier project. The series is held quarterly in Fall, Winter, and Spring, with 5 speakers every quarter.
  • DREAM/CPAR Seminar Series: Seminar series organized jointly by the Design of Robotics and Embedded Systems, Analysis, and Modeling group and the CITRIS People and Robotics Initiative at UC Berkeley to organize seminars that address the topics of our project.

Outreach

  • Introduction to robotics and control at MESA DNA Day, UCSC, April 26, 2024
  • Robotics demo at Golden State Warriors Arena on March 10, 2024
  • Introduction to robotics and control at MESA Day, UCSC, March 13, 2023
  • Robotics demo at Golden State Warriors Arena on March 13, 2023
  • Vanderbilt Institute for Software Integrated Systems 2023 Summer Internship Program: Provides opportunities to gain real world experience in applied research in advanced technical fields with electrical engineering, mechanical engineering, and computer science research.
  • Science Internship Program: summer-long (2+8 week) research internship program for high school students in predominantly STEM fields, as well as the social sciences and the arts. UCSC PhD students, professors, and post-PhD researchers provide one-on-one mentoring of high school interns. The Masters and undergraduate students working on real-time control of model autonomous car at UC Berkeley.
  • Organization of Cluster 11: Feedback Control with Applications to Robotics at COSMOS 2022, UCSC, July-August 2022

Broadening Participation Activities

  • Abhishek Halder launched “101 topics in ML, control and optimization” tutorial seminar series at Translational AI Center in ISU
  • Abhishek Halder mentoring high school student in research who completed the UCSC COSMOS course that he co-designed and co-instructed with Ricardo Sanfelice previously.
  • Jonathan Sprinkle hosted Summer Interns at VU/ISIS Summer Program, including Clark Scholars who are African American.
  • Ricardo Sanfelice & Heiner Litz hosting high school students as part of UC Santa Cruz established Science Internship Program (SIP).
  • Jonathan Sprinkle leads the Mentoring for VU Computer Science Departmental Plan for undergraduate applications, and mentoring faculty for BPC.
  • Majid Zamani works with CU Boulder CS Department on development of their departmental BPC Plan.
  • Murat Arcak currently serves on the UC Berkeley Diversity, Equity and Campus Climate Committee.
  • Linh Phan developed and leads the student mentoring program to improve diversity and promote culture changes for MS students in data science at Penn.

Annual Reviews

  • April 18, 2024: Project review meeting, University of Pennsylvania, Philadelphia, Pennsylvania
  • April 28, 2023: Project review meeting, Vanderbilt University, Nashville, Tennessee
  • October 14, 2022: Project Kickoff, University of California at Santa Cruz, Santa Cruz, California

Industry Collaborations

The team collaborates with industry partners to understand the effect of computational constraints in their products and formulation of use cases where such limitations emerge.

The following industry needs have been identified:

  • Optimization-based control that runs with limited computational power (Year 1)
  • Resource allocation algorithms that can cope with multi-core computing (Year 1)
  • Motion planning algorithm that return results fast (Year 1)
  • Scalable trajectory optimization with varying computational resources (Year 2)
  • Deep learning techniques for guidance and control in their vehicle platform (Year 2)
  • High frequency solving of optimization problems with safety (Year 2)
  • Data-driven approaches for predicting pedestrian motion (Year 2)

The following industry use cases are being formulated:

  • Joby Aviation: Reconfigurable control under actuation limitations/failures
  • Woven by Toyota: Lane changing for ground vehicles
  • Toyota: Resource allocation for ADAS

Academic Collaborations

The team formulated problems to collaborate with our academic partners at Norwegian University of Science and Technology (NTNU) and Scuola IMT Alti Studi Lucca (IMT).

NTNU collaboration activities:

  • Real-time synthesis of planning and control in changing environments
  • Experiments with autonomous model ship at NTNU’s Marine Cybernetics Lab

IMT collaboration activities:

  • Characterization of computational cost for MPC
  • Model predictive control under resource constraints