stefantj _at_ stanford _dot_ edu
Stefan Jorgensen
Alumni · now at Shield AI
Stefan Jorgensen is a Ph.D. Candidate in Electrical Engineering (expected graduation early 2018). He received a B.S. in Electrical Engineering at the University of California, Los Angeles in 2013, and M.S. from Stanford University in 2015. Prior to joining Stanford, he spent three summers working on the swarms vs. swarms project with the Advanced Robotic Systems Engineering Laboratory at the Naval Postgraduate School.
Stefan is currently developing algorithms for deployment and coordination of heterogeneous teams in risky environments. In particular, this focuses on extending vehicle routing problems to settings where vehicles can fail permanently. The key insight is to use submodularity and other tools from combinatorial optimization in order to develop relatively efficient algorithms with guaranteed performance. This work has wide applications such as environmental monitoring, delivery in dangerous environments, or search and rescue during storms.
In his free time, Stefan aspires to turn a dirt patch into a garden. Currently it’s still dirt.
Awards:
- NSF Graduate Research Fellowship
- Stanford Engineering Graduate Fellowship
Publications
6 publications · full lab bibliography
- S. Jorgensen, “Submodular Optimization for Risk-Aware Coordination of Multi-Robot Systems,” Ph.D. dissertation, Stanford University, Dept. of Aeronautics and Astronautics, 2018.
- S. Jorgensen, R. Chen, M. Milam, and M. Pavone, “The Team Surviving Orienteers Problem: Routing Teams of Robots in Uncertain Environments with Survival Constraints,” Autonomous Robots, vol. 42, no. 4, pp. 927--952, 2018.
- S. Jorgensen, R. Chen, M. Milam, and M. Pavone, “The Risk-Sensitive Coverage Problem: Multi-Robot Routing Under Uncertainty with Service Level and Survival Constraints,” Proc. IEEE Conf. on Decision and Control, 2017.
- S. Jorgensen, R. Chen, M. Milam, and M. Pavone, “The Matroid Team Surviving Orienteers Problem: Constrained Routing of Heterogeneous Teams with Risky Traversal,” IEEE/RSJ Int. Conf. on Intelligent Robots & Systems, 2017.
- S. Jorgensen, R. Chen, M. Milam, and M. Pavone, “The Team Surviving Orienteers Problem: Routing Robots in Uncertain Environments with Survival Constraints,” IEEE Int. Conf. on Robotic Computing, 2017.