The Sensing, Learning, and Understanding for Robotic Manipulation (SLURM) Lab at the University of Southern California studies how we can enable robots to interact with and manipulate geometrically and perceptually challenging objects. Our long-term goal is to develop robots that can reliably manipulate objects in less-structured and messier real world settings. To this end, we develop novel methods for improving robotic manipulation by incorporating state of the art machine learning algorithms, perception methods, and hardware platforms. Professor Daniel Seita directs the SLURM Lab.

We are actively recruiting students. If you are interested in joining the lab, please see the Getting Involved page.

Why the name SLURM? :-) It's a reference to the cluster management and job scheduling system used for Linux clusters. It is very helpful for many research labs!