Safety assurance is critical for operating any autonomous vehicles. Yet,
this principle is significantly challenged in space, where vehicles
must operate in nonlinear environments with stringent constraints and
large uncertainty. As a result, spacecraft autonomy
requires constrained planning, control, and optimization under
uncertainty. The demand for such capabilities will only increase as we
expand the frontier of our exploration across and beyond the solar
system.
Motivated by these demands in space community, my research group at
Purdue develops theory, algorithms, and software for provably safe
planning, control, and optimization under uncertainty. In this talk, I
will present how we can leverage stochastic control,
uncertainty quantification, and optimization to address fundamental
challenges in safety-assured spacecraft autonomy. I will also discuss
the implication and broader impact of the theoretical results beyond
space applications.
Bio:
Dr. Kenshiro (Ken) Oguri is an Assistant Professor of Aeronautics and
Astronautics at Purdue University. Ken's research interest includes
orbital mechanics, control theory, stochastic systems, and optimization.
At Purdue, he currently leads a research group
of 14 graduate students. On the control-theoretic side, his research
spans stochastic control, optimal control, nonlinear control, and
optimization. On the space application front, his research addresses
challenges in space exploration, navigation, and autonomy,
in collaboration with NASA, JPL, AFOSR, Aerospace Corporation, and
Draper Labs. He has published more than 110 journal/conference papers in
these fields. His research has been recognized by NASA Early Career
Faculty (ECF) award and multiple paper awards. Prior
to joining Purdue faculty in 2022, he worked at NASA JPL and JAXA. He
received his Ph.D. from the University of Colorado Boulder in 2021, and
M.S. and B.S. from the University of Tokyo in 2017 and 2015,
respectively.