Research

IEOR researchers investigate the latest mathematical tools, approaches, and methodologies to make new theoretical discoveries and innovations that touch nearly every industry, making them more efficient and profitable in areas such as supply chain, logistics, manufacturing, data science, energy system, energy systems, robotics, and management.

Selected Publications

LEGS: Learning Efficient Grasp Sets for Exploratory Grasping

L. Fu et al., “LEGS: Learning Efficient Grasp Sets for Exploratory Grasping,” 2022 International Conference on Robotics and Automation (ICRA), 2022, pp. 8259-8265, doi: 10.1109/ICRA46639.2022.9812138.

Learning to Localize, Grasp, and Hand Over Unmodified Surgical Needles

A. Wilcox et al., “Learning to Localize, Grasp, and Hand Over Unmodified Surgical Needles,” 2022 International Conference on Robotics and Automation (ICRA), 2022, pp. 9637-9643, doi: 10.1109/ICRA46639.2022.9812393.

Mechanical Search on Shelves using a Novel “Bluction” Tool

H. Huang et al., “Mechanical Search on Shelves using a Novel “Bluction” Tool,” 2022 International Conference on Robotics and Automation (ICRA), 2022, pp. 6158-6164, doi: 10.1109/ICRA46639.2022.9811622.

IPC-GraspSim: Reducing the Sim2Real Gap for Parallel-Jaw Grasping with the Incremental Potential Contact Model

C. M. Kim, M. Danielczuk, I. Huang and K. Goldberg, “IPC-GraspSim: Reducing the Sim2Real Gap for Parallel-Jaw Grasping with the Incremental Potential Contact Model,” 2022 International Conference on Robotics and Automation (ICRA), 2022, pp. 6180-6187, doi: 10.1109/ICRA46639.2022.9811777.

Real2Sim2Real: Self-Supervised Learning of Physical Single-Step Dynamic Actions for Planar Robot Casting

V. Lim et al., “Real2Sim2Real: Self-Supervised Learning of Physical Single-Step Dynamic Actions for Planar Robot Casting,” 2022 International Conference on Robotics and Automation (ICRA), 2022, pp. 8282-8289, doi: 10.1109/ICRA46639.2022.9811651.

Concepts and Trends in Autonomy for Robot-Assisted Surgery

P. Fiorini, K. Y. Goldberg, Y. Liu and R. H. Taylor, “Concepts and Trends in Autonomy for Robot-Assisted Surgery,” in Proceedings of the IEEE, vol. 110, no. 7, pp. 993-1011, July 2022, doi: 10.1109/JPROC.2022.3176828.