NEWS    MERL researchers present 9 papers at ACC 2024

Date released: July 25, 2024

  •  NEWS    MERL researchers present 9 papers at ACC 2024
  • Date:

    July 10, 2024 - July 12, 2024

  • Where:

    Toronto, Canada

  • Description:

    MERL researchers presented 9 papers at the recently concluded American Control Conference (ACC) 2024 in Toronto, Canada. The papers covered a wide range of topics including data-driven spatial monitoring using heterogenous robots, aircraft approach management near airports, computation fluid dynamics-based motion planning for drones facing winds, trajectory planning for coordinated monitoring using a team of drones and a ground carrier vehicle, ensemble Kalman smoothing-based model predictive control for motion planning for autonomous vehicles, system identification for Lithium-ion batteries, physics-constrained deep Kalman filters for vapor compression systems, switched reference governors for constrained systems, and distributed road-map monitoring using onboard sensors.

    As a sponsor of the conference, MERL maintained a booth for open discussions with researchers and students, and hosted a special session to discuss highlights of MERL research and work philosophy.

    In addition, Abraham Vinod served as a panelist at the Student Networking Event at the conference. The student networking event provides an opportunity for all interested students to network with professionals working in industry, academia, and national laboratories during a structured event, and encourages their continued participation as the future leaders in the field.

  • External Link:

    https://acc2024.a2c2.org/

  • MERL Contacts:
  • Research Areas:

    Artificial Intelligence, Control, Dynamical Systems, Machine Learning, Multi-Physical Modeling, Optimization, Robotics

    •  Zhang, Y., Greiff, M., Ren, W., Berntorp, K., "Distributed Road-Map Monitoring Using Onboard Sensors", American Control Conference (ACC), July 2024.
      BibTeX TR2024-093 PDF
      • @inproceedings{Zhang2024jul,
      • author = {Zhang, Yanyu and Greiff, Marcus and Ren, Wei and Berntorp, Karl}},
      • title = {Distributed Road-Map Monitoring Using Onboard Sensors},
      • booktitle = {American Control Conference (ACC)},
      • year = 2024,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2024-093}
      • }
    •  Kim, T., Vinod, A.P., Di Cairano, S., "Decoupled Trajectory Planning for Monitoring UAVs and UGV Carrier by Reachable Sets", American Control Conference (ACC), DOI: 10.23919/​ACC60939.2024.10644642, July 2024, pp. 587-593.
      BibTeX TR2024-092 PDF
      • @inproceedings{Kim2024jul,
      • author = {Kim, Taewan and Vinod, Abraham P. and Di Cairano, Stefano}},
      • title = {Decoupled Trajectory Planning for Monitoring UAVs and UGV Carrier by Reachable Sets},
      • booktitle = {American Control Conference (ACC)},
      • year = 2024,
      • pages = {587--593},
      • month = jul,
      • publisher = {IEEE},
      • doi = {10.23919/ACC60939.2024.10644642},
      • url = {https://www.merl.com/publications/TR2024-092}
      • }
    •  Wang, N., Di Cairano, S., Sanfelice, R., "A Switched Reference Governor for High Performance Trajectory Tracking under State and Input Constraints", American Control Conference (ACC), July 2024.
      BibTeX TR2024-091 PDF
      • @inproceedings{Wang2024jul,
      • author = {Wang, Nan and Di Cairano, Stefano and Sanfelice, Ricardo}},
      • title = {A Switched Reference Governor for High Performance Trajectory Tracking under State and Input Constraints},
      • booktitle = {American Control Conference (ACC)},
      • year = 2024,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2024-091}
      • }
    •  Vinod, A.P., Yamazaki, S., Chakrabarty, A., Yoshikawa, N., Di Cairano, S., "Aircraft Approach Management using Reachability and Dynamic Programming", American Control Conference (ACC), DOI: 10.23919/​ACC60939.2024.10644902, June 2024, pp. 318-324.
      BibTeX TR2024-079 PDF
      • @inproceedings{Vinod2024jun,
      • author = {{Vinod, Abraham P. and Yamazaki, Sachiyo and Chakrabarty, Ankush and Yoshikawa, Nobuyuki and Di Cairano, Stefano}},
      • title = {Aircraft Approach Management using Reachability and Dynamic Programming},
      • booktitle = {American Control Conference (ACC)},
      • year = 2024,
      • pages = {318--324},
      • month = jun,
      • publisher = {IEEE},
      • doi = {10.23919/ACC60939.2024.10644902},
      • url = {https://www.merl.com/publications/TR2024-079}
      • }
    •  Nayak, S., Greiff, M., Raghunathan, A., Di Cairano, S., Vinod, A.P., "Data-driven monitoring with mobile sensors and charging stations using multi-arm bandits and coordinated motion planners", American Control Conference (ACC), DOI: 10.23919/​ACC60939.2024.10644645, June 2024, pp. 299-305.
      BibTeX TR2024-078 PDF
      • @inproceedings{Nayak2024jun,
      • author = {Nayak, Siddharth and Greiff, Marcus and Raghunathan, Arvind and Di Cairano, Stefano and Vinod, Abraham P.}},
      • title = {Data-driven monitoring with mobile sensors and charging stations using multi-arm bandits and coordinated motion planners},
      • booktitle = {American Control Conference (ACC)},
      • year = 2024,
      • pages = {299--305},
      • month = jun,
      • publisher = {IEEE},
      • doi = {10.23919/ACC60939.2024.10644645},
      • url = {https://www.merl.com/publications/TR2024-078}
      • }
    •  Huang, Y., Greiff, M., Vinod, A.P., Di Cairano, S., "Leveraging Computational Fluid Dynamics in UAV Motion Planning", American Control Conference (ACC), DOI: 10.23919/​ACC60939.2024.10644753, July 2024, pp. 375-381.
      BibTeX TR2024-050 PDF Video
      • @inproceedings{Huang2024jul,
      • author = {Huang, Yunshen and Greiff, Marcus and Vinod, Abraham P. and Di Cairano, Stefano}},
      • title = {Leveraging Computational Fluid Dynamics in UAV Motion Planning},
      • booktitle = {American Control Conference (ACC)},
      • year = 2024,
      • pages = {375--381},
      • month = jul,
      • publisher = {IEEE},
      • doi = {10.23919/ACC60939.2024.10644753},
      • url = {https://www.merl.com/publications/TR2024-050}
      • }
    •  Deshpande, V.M., Chakrabarty, A., Vinod, A.P., Laughman, C.R., "Physics-Constrained Deep Autoencoded Kalman Filters for Estimating Vapor Compression System States", IEEE Control Systems Letters, DOI: 10.1109/​LCSYS.2023.3334959, November 2023.
      BibTeX TR2023-138 PDF
      • @article{Deshpande2023nov,
      • author = {{Deshpande, Vedang M. and Chakrabarty, Ankush and Vinod, Abraham P. and Laughman, Christopher R.}},
      • title = {Physics-Constrained Deep Autoencoded Kalman Filters for Estimating Vapor Compression System States},
      • journal = {IEEE Control Systems Letters},
      • year = 2023,
      • month = nov,
      • doi = {10.1109/LCSYS.2023.3334959},
      • url = {https://www.merl.com/publications/TR2023-138}
      • }