Grants per year
Personal profile
Research Interests
My research interest is to advance the control and design of multi-robot systems, enabling their use instead of traditional single robots and to solve problems for which traditional robots are not suitable. Using these multi-robot systems can offer more parallelism, adaptability, and fault tolerance when compared to a traditional single robot. I am also interested in investigating how new technologies will allow for more capable multi-robot systems, and how these technologies impact the design of multi-robot algorithms, especially as these systems begin to number in the hundreds, thousands, or even millions of robots.
Education/Academic qualification
Computer Science, PhD, University of Southern California
… → 2009
Electrical Engineering, MS, University of Southern California
… → 2005
Electrical Engineering, BS, Purdue University
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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Collaborative Research: NRI: FND: Flying Swarm for Safe Human Interaction in Unstructured Environments
10/1/20 → 9/30/23
Project: Research project
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NRI: INT: Robotic Shepherding for Flow Control in Uncertain Dynamic Environments
Wei, E., Freeman, R. A., Lynch, K. M. & Rubenstein, M.
9/1/20 → 8/31/24
Project: Research project
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Collaborative Research: RI: Medium: Living Architectures: From Army Ants to Self-Assembling Robot Swarms
8/1/20 → 7/31/24
Project: Research project
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Generating Goal Configurations for Scalable Shape Formation in Robotic Swarms
Wang, H. & Rubenstein, M., 2022, Distributed Autonomous Robotic Systems - 15th International Symposium, 2022. Matsuno, F., Azuma, S. & Yamamoto, M. (eds.). Springer Nature, p. 1-15 15 p. (Springer Proceedings in Advanced Robotics; vol. 22 SPAR).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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ReactiveBuild: Environment-Adaptive Self-Assembly of Amorphous Structures
Swissler, P. & Rubenstein, M., 2022, Distributed Autonomous Robotic Systems - 15th International Symposium, 2022. Matsuno, F., Azuma, S. & Yamamoto, M. (eds.). Springer Nature, p. 363-375 13 p. (Springer Proceedings in Advanced Robotics; vol. 22 SPAR).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Decentralized Localization in Homogeneous Swarms Considering Real-World Non-Idealities
Wang, H. & Rubenstein, M., Oct 2021, In: IEEE Robotics and Automation Letters. 6, 4, p. 6765-6772 8 p., 9477160.Research output: Contribution to journal › Article › peer-review
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A Fast, Accurate, and Scalable Probabilistic Sample-Based Approach for Counting Swarm Size
Wang, H. & Rubenstein, M., May 2020, 2020 IEEE International Conference on Robotics and Automation, ICRA 2020. Institute of Electrical and Electronics Engineers Inc., p. 7180-7185 6 p. 9196529. (Proceedings - IEEE International Conference on Robotics and Automation).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Automatic control synthesis for swarm robots from formation and location-based high-level specifications
Chen, J., Wang, H., Rubenstein, M. & Kress-Gazit, H., Oct 24 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020. Institute of Electrical and Electronics Engineers Inc., p. 8027-8034 8 p. 9341466. (IEEE International Conference on Intelligent Robots and Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations