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Organization profile

Organization profile

The Minnesota Robotics Institute (MnRI) is determined to fill a role in advancing robotics innovation and education.

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. Our work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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Dive into the research topics where Minnesota Robotics Institute is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • 3D printed microfluidics for cell analysis using digital holographic microscopy

    Sanborn, D., Bravo-Frank, N. G. & Hong, J., 2025, Microfluidics, BioMEMS, and Medical Microsystems XXIII. Rapp, B. E. & Dalton, C. (eds.). SPIE, 1331206. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 13312).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • A Fully Automated Artificial Intelligence-Based Approach to Predict Renal Function After Radical or Partial Nephrectomy

    Abdallah, N., Rathi, N., Heller, N., Wood, A., Campbell, R., Benidir, T., Isensee, F., Tejpaul, R. D., Suk-ouichai, C., Palacios, D. A., You, A., Viswanath, S., Flannery, B., Kaouk, J., Haywood, S., Krishnamurthi, V., Papanikolopoulos, N. P., Zabell, J., Abouassaly, R. & Remer, E. M. & 2 others, Campbell, S. & Weight, C. J., Jun 2025, In: Urology. 200, p. 97-104 8 p.

    Research output: Contribution to journalArticlepeer-review

  • AI Age Discrepancy: A Novel Parameter for Frailty Assessment in Kidney Tumor Patients

    Seshadri, R., Siva, J., Bartholomew, A., Goebel, C., Wallerstein-King, G., Morato, B. L., Heller, N., Scovell, J., Campbell, R., Wood, A., Ozery-Flato, M., Barros, V., Gabrani, M., Rosen-Zvi, M., Tejpaul, R., Ramesh, V., Papanikolopoulos, N., Regmi, S., Ward, R. & Abouassaly, R. & 3 others, Campbell, S. C., Remer, E. & Weight, C., 2025, Cancer Prevention, Detection, and Intervention - 3rd MICCAI Workshop, CaPTion 2024, Held in Conjunction with MICCAI 2024, Proceedings. Ali, S., van der Sommen, F., Kolenbrander, I., Papież, B. W., Ghatwary, N. & Jin, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 167-175 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15199 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution