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 systems, robotics, and management.

Selected Publications

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.

Gradient-based Algorithms for Convex Discrete Optimization via Simulation

Haixiang Zhang, Zeyu Zheng and Javad Lavaei, Gradient-based Algorithms for Convex Discrete Optimization via Simulation, Operations Research, 2022.

Dynamic Regret Bounds for Online Nonconvex Optimization

Julie Mulvaney-Kemp, SangWoo Park, Ming Jin, and Javad Lavaei, Dynamic Regret Bounds for Online Nonconvex Optimization, to appear in IEEE Transactions on Control of Network Systems, 2022.