Personal profile

Research interests

My research work investigates building novel miniaturized robotic swarms and algorithmic frameworks that enable sensing, surveying, and inspection applications. My research is applied and interdisciplinary, spanning the fields of mechatronics, electronics, embedded systems, embedded artificial intelligence and machine learning, and distributed systems. I envision my research to produce novel surface, aquatic, and aerial miniaturized robot swarms and small-scale intelligent devices that can both serve as tools for basic research and also benefit several commercially promising applications in domains such as inspection of complex structures, environmental monitoring, space exploration, and search-and-rescue robot swarms.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 9 - Industry, Innovation, and Infrastructure

Education/Academic qualification

Robotics, Control, and Intelligent Systems, PhD, Design, Modeling, and Control Methods for Fluid-Mediated Programmable Self-Assembly of Resource-Constrained Robotic Modules, École Polytechnique Fédérale de Lausanne, EPFL

Award Date: 22-Jun-2018

External positions

Postdoctoral Research Associate, Princeton University

1-Feb-202231-Aug-2022

Postdoctoral Research Fellow, Harvard University

1-Oct-201831-Jan-2022

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Collaborations and top research areas from the last five years

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  • Collective Bayesian Decision-Making in a Swarm of Miniaturized Robots for Surface Inspection

    Siemensma, T., Chiu, D., Ramshanker, S., Nagpal, R. & Haghighat, B., 2024, Swarm Intelligence: 14th International Conference, ANTS 2024, Proceedings. Hamann, H., Reina, A., Kuckling, J., Buss, E., Dorigo, M., Pérez Cáceres, L., Kaiser, T. K., Soorati, M. & Hasselmann, K. (eds.). Springer, p. 57-70 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14987 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

  • Optimization and Evaluation of a Multi Robot Surface Inspection Task Through Particle Swarm Optimization

    Chiu, D., Nagpal, R. & Haghighat, B., 2024, 2024 IEEE International Conference on Robotics and Automation, ICRA 2024. IEEE, p. 8996-9002 7 p. (Proceedings - IEEE International Conference on Robotics and Automation).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
    File
    1 Citation (Scopus)
  • A Hybrid PSO Algorithm for Multi-robot Target Search and Decision Awareness

    Ebert, J., Berlinger, F., Haghighat, B. & Nagpal, R., Oct-2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) October 23-27, 2022, Kyoto, Japan. IEEE, p. 11520-11527 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    6 Citations (Scopus)
  • An Approach Based on Particle Swarm Optimization for Inspection of Spacecraft Hulls by a Swarm of Miniaturized Robots

    Haghighat, B., Boghaert, J., Minsky-Primus, Z., Ebert, J., Liu, F., Nisser, M., Ekblaw, A. & Nagpal, R., 29-Oct-2022, Swarm Intelligence: 13th International Conference, ANTS 2022 Málaga, Spain, November 2–4, 2022 Proceedings. Dorigo , M., Hamann , H., López-Ibáñez, M., García-Nieto, J., Engelbrecht , A., Pinciroli, C., Strobel, V. & Camacho-Villalón, C. (eds.). Cham: Springer Verlag, p. 14-28 15 p. (Lecture Notes in Computer Science; vol. 13491).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
    File
    2 Citations (Scopus)
    787 Downloads (Pure)
  • A Swarm Robotic Approach to Inspection of 2.5 D Surfaces in Orbit

    Haghighat, B., Ebert, J., Boghaert, J., Ekblaw, A. & Nagpal, R., Jan-2022, (Submitted). 8 p.

    Research output: Contribution to conferencePaperAcademic

    File
    175 Downloads (Pure)