Morgenstein, Gupta, Chinchali, Sentis (2023) Information Theoretically Optimal Search for Multi-agent Reinforcement
Learning. In preparation for RO-MAN 2023.
Morgenstein, Jiao, Sentis (2023) Learning Contact-based Navigation in Crowds. Accepted for presentation at the Human
Interactive Robot Learning workshop at HRI 2023.
Gupta, Kim, Rodriguez, Morgenstein, Sentis (2023) Curiosity-based Search for Heterogeneous Robot Teams. Submitted to RSS 2023.
Morgenstein, K, Moore, K, Bosak, T (2022) Exploring the Preservation of Microbes and Understanding their Role in the Fossil Record. In preparation.
Morgenstein, K (2020) Characterizing Aperture Masking Interferometry in the Near-Infrared as an Effective Technique for Astronomical Imaging. MURJ. 39(1): 28-34.
Morgenstein, K, Mackey, TJ, Summons, RE (2018) Biomarker Analysis from Svalbard in the Neoproterozoic through Micro-abrasion. MURJ. 35(1): 27-28.
I gave this webinar to the United Nations Office for Outer Space Affairs on astrobiology and the search for life on Mars:
Other Media Mentions
Botany Research (High School): https://cstem.uncc.edu/6-12-stem-student-programs/summer-ventures-science-and-mathematics/curriculum-and-courses/field